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Paper Citation Record · LEDGER

LeMON: Learning to Learn Multi-Operator Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:50.888947Z

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 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=sha256:383b2ddfff74ffd6c267ad139a481b246beac43587755c7afef039a4af7755f4

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:f5b5fdea629fe5feee09243378906bc415dd54784fb9f8e56841a08dd4bb9c32

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T11:26:06.622876Z digest=sha256:06f7e7ccc75b263699d8edf04fa1366250ef0be973a2edcb28f3458cb8d27035

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:45:40.188341Z digest=sha256:c971550c0f5cc7e8320a171c22443155099be2c4d2a750adcd5d0da7c2d5e588