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Paper Citation Record · LEDGER

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.14617.

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

pith.paper-citation-record.v1
2401.14617 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:56:30.656679Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:24:13.019704Z

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 2aabcc4d-003a-404c-a209-c9959a336a11 · inbound

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering cites this paper.

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T17:56:30.656679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:56:30.656679Z digest=sha256:e741e54bd1857aa4319a2e90dda56a14b8b1505fea939f635afc71453a8df3bc

Observation d0d70b4c-f5f5-4eb7-91af-abf1bbe56ce4 · inbound

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem cites this paper.

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:24:13.032103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T00:24:11.800395Z digest=sha256:b957508211dc5d2cda064dbd93387b0abfea83210273886b32cd0c01ed4bce9d