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Paper Citation Record · LEDGER

MGCNN: a learnable multigrid solver for sparse linear systems from PDEs on structured grids

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11093.

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

pith.paper-citation-record.v1
2312.11093 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:20:25.075162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:39:01.230472Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 69b07d50-74b8-45dd-8990-8cc6f0daa5b5 · inbound

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

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers MGCNN: a learnable multigrid solver for sparse linear systems from PDEs on structured grids

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:20:25.075162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:20:25.075162Z digest=sha256:ad6775793656f08925f0ff672c7f64e010d5d358e8c3b6136f1484c2cb4d6761

Observation d0b118ac-d4a1-4002-9ba6-0ed9eb505cda · inbound

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation cites this paper.

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation MGCNN: a learnable multigrid solver for sparse linear systems from PDEs on structured grids

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:24:57.765285Z

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=arxiv_source observed=2026-06-30T04:43:01.892025Z digest=sha256:55823ce27f045f93cd5bb77aab38b003de5b972fbdfd5df088898f782da458e4

Observation aae338e8-bb12-4c41-ab0c-9f8409d58876 · inbound

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation cites this paper.

McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation MGCNN: a learnable multigrid solver for sparse linear systems from PDEs on structured grids

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:39:01.231924Z

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=arxiv_source observed=2026-07-03T22:32:58.936039Z digest=sha256:98430b77f6090d2dae4d2afe167642b5b005f3847e67662975b32447b9c0fea3