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Paper Citation Record · LEDGER

Learning a generalized multiscale prolongation operator

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.06832.

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

pith.paper-citation-record.v1
2410.06832 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:20:25.019629Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c18060ca-bed0-4408-ad7d-29658bf731de · inbound

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers cites this paper.

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers Learning a generalized multiscale prolongation operator

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T18:20:25.019629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:20:25.019629Z digest=sha256:b2c51771027096c54737470a18b9d3742906e9c37bbecb5970d585cf51c6b1c7

Observation 4fd7b399-7e47-47af-ae05-ad3aae52f203 · inbound

Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media cites this paper.

Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media Learning a generalized multiscale prolongation operator

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-12T20:39:06.481037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-12T20:38:50.895379Z digest=sha256:f46911aed7b69d2f57f12628ac4c9dd134b3942cbade1d12434421e2be62d7f1