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Paper Citation Record · LEDGER

Applications of Deep Learning to Nuclear Fusion Research

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1811.00333.

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

pith.paper-citation-record.v1
1811.00333 v1

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 2026-08-12T11:33:12.979475Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:33:13.187219Z

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 0fa03e51-408d-4084-96da-153c56f14780 · inbound

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices cites this paper.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Applications of Deep Learning to Nuclear Fusion Research

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:33:13.193396Z

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=2026-08-12T11:33:12.979475Z digest=sha256:268938183bba629af855e29784c5b58a34511b1987a2e8f42c3f9fb4a2cf20f5