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Paper Citation Record · LEDGER

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.06520.

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

pith.paper-citation-record.v1
2009.06520 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 2026-08-07T15:30:09.244651Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:30:09.814904Z

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 6558102c-aba9-4960-b16c-cf02b0ab1baa · inbound

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering cites this paper.

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Reference 294

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:30:09.863942Z

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=arxiv_source observed=2026-08-07T15:30:09.244651Z digest=sha256:00e92996dbce3509b2a6b67039901e35bf8967fc26d41762fa48a19a8df82c66

Observation 1464a0db-61f8-4841-8267-7b503aaad29e · inbound

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:10.619514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:10.619514Z digest=sha256:77ada9c8df07259a5fa49cf2971f8a2105e49cab189c277d565f4dc78989c96d