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Paper Citation Record · LEDGER

Code Smells in Machine Learning Systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.00803.

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

pith.paper-citation-record.v1
2203.00803 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:05:53.894301Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:35:14.599378Z

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 487f5e55-1aab-4db4-9201-dac7ec187504 · inbound

What Do Machine Learning Researchers Mean by "Reproducible"? cites this paper.

What Do Machine Learning Researchers Mean by "Reproducible"? Code Smells in Machine Learning Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T22:05:53.894301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:05:53.894301Z digest=sha256:2ae897d1a3456c97e390c638d37301b3f2995ac67619d47b0c6663f0bb8203df

Observation 7b9fe4fe-0ad7-4e08-91a7-63945bac8199 · inbound

Automated Detection of Inter-Language Design Smells in Multi-Language Deep Learning Frameworks cites this paper.

Automated Detection of Inter-Language Design Smells in Multi-Language Deep Learning Frameworks Code Smells in Machine Learning Systems

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:35:14.606417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T14:35:14.135483Z digest=sha256:147d5079e4de8ff75196cd92bd9114b150f64a0e790caffff1ed865643777a5d