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Paper Citation Record · LEDGER

Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.11609.

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

pith.paper-citation-record.v1
2409.11609 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:02:12.754144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:48:23.018537Z

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 1ad5aa40-463e-45a7-af84-4e6fa20e5039 · 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 Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T17:02:12.754144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:02:12.754144Z digest=sha256:5195c37f20b65f1c2f0b5295786705260e93fe081fe2fc53d2a10d380920ad9f

Observation d7744cd4-8f4f-4564-99fb-fd593f9cc2bc · inbound

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data cites this paper.

MVNN: A Measure-Valued Neural Network for Learning McKean-Vlasov Dynamics from Particle Data Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:48:23.021490Z

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=2026-05-13T22:45:53.377753Z digest=sha256:6583c67f4b11ee9d4e80dfb751eaa98880e2c50733477e45b0f85dcfe813f163