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Paper Citation Record · LEDGER

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.18972.

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

pith.paper-citation-record.v1
2501.18972 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:30.253398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:34:42.655465Z

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 bdf2cbbf-c642-4836-808a-68ecc2caf6b7 · inbound

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations cites this paper.

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:30.253398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:38:30.253398Z digest=sha256:c75ce02eb391d0eb7f7a6d74e65b87de1bd9d685109c9a1b29fe4258ef3c55a2

Observation c489225e-4439-439e-935e-4a6065b92eda · inbound

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations cites this paper.

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T05:33:52.877622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:52.877622Z digest=sha256:3d3acbd852f1101ecb2571e84d8901672d12ef65cbb64e9d7c7d08ae63ef77d2

Observation a71df48b-6423-47b8-a337-e7a0cb57f4cf · inbound

CompNO: A Novel Foundation Model approach for solving Partial Differential Equations cites this paper.

CompNO: A Novel Foundation Model approach for solving Partial Differential Equations BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:53:00.522248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T14:51:57.796868Z digest=sha256:124812a6bd70f3ef0e67719a688cec1e7e40b6aaa13cbf2f38f0d3785cb443ec

Observation 169e5db6-09fb-446a-9c7b-340943c91ad1 · inbound

Continuous Latent Diffusion Language Model cites this paper.

Continuous Latent Diffusion Language Model BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:11:10.830066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T10:04:09.646578Z digest=sha256:269fcebd40399827a374a0fca1df0c0caa9d8fa5ad75723fcd5ae96b5fe3399b

Observation 2d8266b6-3e8a-4ef2-9cd5-1e439fa15e66 · inbound

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning cites this paper.

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:34:42.659088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T07:32:11.942427Z digest=sha256:b5f76d61b1b7dc9f9cedb9c12acc8a43272fb7d6126a50bb1be463d23de8ee10