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Paper Citation Record · LEDGER

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.07471.

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

pith.paper-citation-record.v1
2205.07471 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:58.280461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:03:20.494800Z

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 76fa2ca4-79ef-416e-a0d6-492159c8fcfb · inbound

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine cites this paper.

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:58.280461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:58.280461Z digest=sha256:409a6a3409409892c24cffc1d15e9a3702a144a53640d2ca496e029de1c8d7a7

Observation 62ebc80a-39e4-462d-9c8a-b0cd7295224e · inbound

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction cites this paper.

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:03:20.497767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T14:01:11.769292Z digest=sha256:117943c4a1380e6699503b51147a8667c979981723d04a778264c1168137cf6a