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Paper Citation Record · LEDGER

G-Adaptivity: optimised graph-based mesh relocation for finite element methods

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04516.

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

pith.paper-citation-record.v1
2407.04516 v3

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 2026-07-15T13:59:33.352526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-15T18:15:01.652090Z

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 9ea42e4e-cbdd-4c4f-8010-71ca5463d512 · inbound

Machine Learning Based Mesh Movement for Non-Hydrostatic Tsunami Simulation cites this paper.

Machine Learning Based Mesh Movement for Non-Hydrostatic Tsunami Simulation G-Adaptivity: optimised graph-based mesh relocation for finite element methods

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-15T14:01:34.380205Z

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=2026-07-15T13:59:33.352526Z digest=sha256:0855635faa01d79057388184136d3ce00af2c9d7bb8f1f0d2c262d09f6cb05b8

Observation 0a58ddd4-8fa0-4ce9-84b4-b0d042235300 · inbound

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement cites this paper.

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement G-Adaptivity: optimised graph-based mesh relocation for finite element methods

Reference 74

Resolution
unresolved
no resolver link, observed 2026-07-13T06:42:45.558324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T06:42:45.558324Z digest=sha256:696ca40d665c25583686b9db04755c8a3d127abf36c91b2837592f07210f5e96