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Paper Citation Record · LEDGER

LeMON: Learning to Learn Multi-Operator Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.16168.

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

pith.paper-citation-record.v1
2408.16168 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:55:52.819588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:46.065581Z

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 6189a8de-a12e-4f18-b70d-b6ba10ccfd0c · inbound

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics cites this paper.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics LeMON: Learning to Learn Multi-Operator Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T21:55:52.819588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:55:52.819588Z digest=sha256:5dbdfa8acb543b538ba8b58fe7ca5dc32d9f2d3f2b6a2a2acc22877480d0a020

Observation 107e2004-89b7-4dd5-8b68-00ade178febd · inbound

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions cites this paper.

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions LeMON: Learning to Learn Multi-Operator Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T17:02:12.823205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:02:12.823205Z digest=sha256:d464e402a3ad33295d20cd7f5e077edff54f73dd15061adcc4dd6c23e3ed5468

Observation 491826d2-b217-43e0-8e28-4412a6f32070 · inbound

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models cites this paper.

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models LeMON: Learning to Learn Multi-Operator Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:50.888947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:50.888947Z digest=sha256:3996fe1590a57b76a547350c41c8ca43ad771ae2bdfc4266d13a22d12f6c012d

Observation 02dd2bb6-5324-4e0d-ad5d-321c7eda74bf · 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 LeMON: Learning to Learn Multi-Operator Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:29.377486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:38:29.377486Z digest=sha256:4e08480abbfdc5fc5cb09c1152a3f28fd2998d2cff7218749a366df156032129

Observation a0271e9e-7eb4-461d-b836-3cd92cbf4c8d · inbound

Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling cites this paper.

Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling LeMON: Learning to Learn Multi-Operator Networks

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:26:18.485880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T11:26:06.622876Z digest=sha256:e9d2689b4f840ff9a146fe6d0bd893cc3bc214e919d8a619811b44e139cf3035

Observation f5862549-e60a-4517-ac17-dc6bb939a652 · inbound

Harness In-Context Operator Learning with Chain of Operators cites this paper.

Harness In-Context Operator Learning with Chain of Operators LeMON: Learning to Learn Multi-Operator Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:17:46.067679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T10:45:40.188341Z digest=sha256:0ae39107147d609d9572552f3cc89ede7cc5ae6c89b1309f3ba9e18d50dd48d9