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Paper Citation Record · LEDGER

Monochromatic CT Image Reconstruction from Current-Integrating Data via Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1710.03784.

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

pith.paper-citation-record.v1
1710.03784 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:00:29.459243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:00:29.768684Z

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 16d87a56-ba7a-4268-8fe9-962efa61f8e8 · inbound

Scalable Double Regularization for 3D Nano-CT Reconstruction cites this paper.

Scalable Double Regularization for 3D Nano-CT Reconstruction Monochromatic CT Image Reconstruction from Current-Integrating Data via Deep Learning

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:00:29.779123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:00:29.459243Z digest=sha256:d7de5b7086d258e83d2d66cfb03495223face3a485d576f811acd1066f72c79c