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Paper Citation Record · LEDGER

Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.13110.

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

pith.paper-citation-record.v1
2410.13110 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:39:29.892525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:23:43.884024Z

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 a2406054-1b37-4d89-82c0-d892ab3a639f · inbound

CodeV: Issue Resolving with Visual Data cites this paper.

CodeV: Issue Resolving with Visual Data Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:39:29.892525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:39:29.892525Z digest=sha256:50054dc61d644832e235550d729189bc9b5c6fe89a871a1ce9117bd88a1628ea

Observation 6e663a43-1f84-4fb5-b53a-0162eb5a627e · inbound

Recommending Variable Names for Extract Local Variable Refactorings cites this paper.

Recommending Variable Names for Extract Local Variable Refactorings Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:23:43.985842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:23:31.951115Z digest=sha256:f0b37763981aeba225ed7a2729872adf5f1c42a6c87ab04857f0999c77c17adf