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Paper Citation Record · LEDGER

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.19496.

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

pith.paper-citation-record.v1
2504.19496 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 2026-08-05T14:00:10.612033Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:48:23.015056Z

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 0af15249-29d2-4d04-b2a2-3058963c53d5 · inbound

Generative Latent Space Dynamics of Electron Density cites this paper.

Generative Latent Space Dynamics of Electron Density DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.612033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.612033Z digest=sha256:16a67c3257b7ff508d0852cf365398dabccde45b0d90bc1f84093c43164612df

Observation 24e97a95-adb4-46fd-b402-450fb0082090 · 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 DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:48:23.017090Z

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:ef5544d23610d86b93769740d3213ed4ec106aba6aacd265e8320413929aebce