Paper Citation Record · LEDGER

MLScent A tool for Anti-pattern detection in ML projects

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.18466.

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

pith.paper-citation-record.v1
2502.18466 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:10:25.870396Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy37
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec3f4bb6-e328-4c8d-bc6b-16cb19e98631 · outbound

This paper cites Gartner survey shows 37 percent of organiza- tions have implemented ai in some form,.

MLScent A tool for Anti-pattern detection in ML projects Gartner survey shows 37 percent of organiza- tions have implemented ai in some form,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.951485Z

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.

Observation c7fd65fd-5c03-4533-b3cc-b260cc71f92d · outbound

This paper cites Artificial intelligence in healthcare market,.

MLScent A tool for Anti-pattern detection in ML projects Artificial intelligence in healthcare market,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.933550Z

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.

Observation bacca28d-3327-42af-b063-075c916c56b0 · outbound

This paper cites Software engineering for machine learning: A case study,.

MLScent A tool for Anti-pattern detection in ML projects Software engineering for machine learning: A case study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.897459Z

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.

Observation 933ab217-810f-4aa1-bfb5-06c0deb8ae05 · outbound

This paper cites Challenges in using machine learning to support software engineering.

MLScent A tool for Anti-pattern detection in ML projects Challenges in using machine learning to support software engineering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.877174Z

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.

Observation e7fd75d7-8905-465c-a267-268d3d8f845d · outbound

This paper cites When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems.

MLScent A tool for Anti-pattern detection in ML projects When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T00:10:26.225781Z

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.

Observation 69d769bb-e96d-4ede-8ab3-53c40443e081 · outbound

This paper cites An empirical study of refactorings and technical debt in machine learning systems,.

MLScent A tool for Anti-pattern detection in ML projects An empirical study of refactorings and technical debt in machine learning systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.857804Z

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.

Observation ecd78915-776a-40f1-8ac7-3749ce4ef3bd · outbound

This paper cites Hidden technical debt in machine learning systems,.

MLScent A tool for Anti-pattern detection in ML projects Hidden technical debt in machine learning systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.840423Z

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.

Observation 5e0297e1-2055-4bda-b82b-04cd422ca97a · outbound

This paper cites The ml test score: A rubric for ml production readiness and technical debt reduction,.

MLScent A tool for Anti-pattern detection in ML projects The ml test score: A rubric for ml production readiness and technical debt reduction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.822923Z

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.

Observation df5b56bd-5286-421f-8274-3e227a7cc086 · outbound

This paper cites 23 shades of self-admitted technical debt: an empirical study on machine learning software,.

MLScent A tool for Anti-pattern detection in ML projects 23 shades of self-admitted technical debt: an empirical study on machine learning software,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T00:10:25.692548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297c74bf-06e7-45a9-9dcf-9b63e9c07058 · outbound

This paper cites Challenges in machine learning application development: an industrial experience report,.

MLScent A tool for Anti-pattern detection in ML projects Challenges in machine learning application development: an industrial experience report,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.805572Z

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.

Observation 61000250-cf59-44f6-8392-a6d13f2f2d44 · outbound

This paper cites Machine learning techniques for code smell detection: A systematic literature review and meta-analysis,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning techniques for code smell detection: A systematic literature review and meta-analysis,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T00:10:25.702374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35ee00c-a6fc-4b6b-b30b-d1ab11801f10 · outbound

This paper cites Code smells for machine learning applications,.

MLScent A tool for Anti-pattern detection in ML projects Code smells for machine learning applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.776347Z

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.

Observation 9d16e53f-b086-4619-8f56-f8a75e510d6b · outbound

This paper cites The prevalence of code smells in machine learning projects,.

MLScent A tool for Anti-pattern detection in ML projects The prevalence of code smells in machine learning projects,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.758569Z

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.

Observation 31ae4d92-4e66-4606-b331-cc89c4359824 · outbound

This paper cites An extended systematic literature review on provision of evidence for safety certi- fication,.

MLScent A tool for Anti-pattern detection in ML projects An extended systematic literature review on provision of evidence for safety certi- fication,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.738875Z

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.

Observation e5be8d26-bded-4910-9ec9-ca8cf7d0f99c · outbound

This paper cites Machine learning test- ing: Survey, landscapes and horizons,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning test- ing: Survey, landscapes and horizons,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.717935Z

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.

Observation e94960ee-2958-4002-99b9-e7cdd47dabb9 · outbound

This paper cites Detecting bad smells with machine learning algorithms: an empirical study,.

MLScent A tool for Anti-pattern detection in ML projects Detecting bad smells with machine learning algorithms: an empirical study,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T00:10:25.729470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e2a8d2-7ea3-43a2-b807-e63a93aafcd6 · outbound

This paper cites Machine learning for techni- cal debt identification,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning for techni- cal debt identification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.699050Z

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.

Observation 572b8649-aa93-481f-9cef-ec1dc91285c4 · outbound

This paper cites A survey on machine learning techniques applied to source code,.

MLScent A tool for Anti-pattern detection in ML projects A survey on machine learning techniques applied to source code,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.681780Z

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.

Observation 35499adc-1a4b-46e3-831c-aa3e2cf71d77 · outbound

This paper cites Machine learning for source code vulnerability detection: What works and what isn’t there yet,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning for source code vulnerability detection: What works and what isn’t there yet,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.664458Z

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.

Observation ea335d20-466a-48e9-a85e-d47e91779b5a · outbound

This paper cites Empirical analysis of hidden technical debt patterns in machine learning software,.

MLScent A tool for Anti-pattern detection in ML projects Empirical analysis of hidden technical debt patterns in machine learning software,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.647788Z

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.

Observation 8c0ef7c7-4cdc-418b-b536-ecac47eb1167 · outbound

This paper cites Fowler, Refactoring: Improving the Design of Existing Code.

MLScent A tool for Anti-pattern detection in ML projects Fowler, Refactoring: Improving the Design of Existing Code

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.630282Z

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.

Observation 6294b045-d170-4e1b-97af-3922a07d1b72 · outbound

This paper cites Exploring the impact of inter-smell re- lations on software maintainability: An empirical study,.

MLScent A tool for Anti-pattern detection in ML projects Exploring the impact of inter-smell re- lations on software maintainability: An empirical study,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.609342Z

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.

Observation 0447f6a4-925c-4e99-9da0-8458012cb9d0 · outbound

This paper cites Detecting code smells using deep learning,.

MLScent A tool for Anti-pattern detection in ML projects Detecting code smells using deep learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.590376Z

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.

Observation 07e68c9d-3dbf-4ff0-9816-c5f0129bee31 · outbound

This paper cites SonarQube,.

MLScent A tool for Anti-pattern detection in ML projects SonarQube,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.567240Z

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.

Observation 294ddb06-3dd8-4d2d-8929-e873834b0691 · outbound

This paper cites an unresolved cited work.

MLScent A tool for Anti-pattern detection in ML projects Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T00:10:26.549761Z

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.

Observation 3235c804-20d4-4432-b6e6-7c68d6ed9ac2 · outbound

This paper cites Deep learning anti- patterns from code metrics history,.

MLScent A tool for Anti-pattern detection in ML projects Deep learning anti- patterns from code metrics history,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.531829Z

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.

Observation 42aba007-5be6-4a7e-a69a-af3962f56379 · outbound

This paper cites An experience report on using code smells detection tools,.

MLScent A tool for Anti-pattern detection in ML projects An experience report on using code smells detection tools,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.512317Z

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.

Observation 3607ab86-a794-4cc9-ab7e-fdd0817c78c6 · outbound

This paper cites Hidden technical debt in machine learning systems,.

MLScent A tool for Anti-pattern detection in ML projects Hidden technical debt in machine learning systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.494529Z

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.

Observation dcd2f114-df25-49a4-86fd-980b08405171 · outbound

This paper cites Machine learning: The high interest credit card of technical debt,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning: The high interest credit card of technical debt,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T00:10:25.800596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0936f5b-bca0-434e-8c21-fb8d08bc83b9 · outbound

This paper cites Practice-based col- lection of bad smells in machine learning projects,.

MLScent A tool for Anti-pattern detection in ML projects Practice-based col- lection of bad smells in machine learning projects,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.460368Z

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.

Observation cde972d9-c425-48ea-aad4-959443ab0b88 · outbound

This paper cites Machine learning architecture and design patterns,.

MLScent A tool for Anti-pattern detection in ML projects Machine learning architecture and design patterns,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.441900Z

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.

Observation 34c18750-93f8-4c98-a592-719406759a56 · outbound

This paper cites Project smells: experiences in analysing the software quality of ml projects with mllint,.

MLScent A tool for Anti-pattern detection in ML projects Project smells: experiences in analysing the software quality of ml projects with mllint,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.424637Z

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.

Observation 0b61b1a9-e99a-422c-8239-9476ba21b4a7 · outbound

This paper cites Data linter,.

MLScent A tool for Anti-pattern detection in ML projects Data linter,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.406283Z

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.

Observation edf014bc-5a8f-4e52-b661-384d8040f1ec · outbound

This paper cites Datalab,.

MLScent A tool for Anti-pattern detection in ML projects Datalab,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.388263Z

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.

Observation 8cbbceda-3fd2-493d-9fa1-d17cf1a86e3e · outbound

This paper cites Deepchecks: Continuous validation for ai & ml: Testing, ci & monitoring,.

MLScent A tool for Anti-pattern detection in ML projects Deepchecks: Continuous validation for ai & ml: Testing, ci & monitoring,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.372013Z

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.

Observation 4c3d3f95-b27c-4759-9e2a-c33dffc0ac73 · outbound

This paper cites Great expectations,.

MLScent A tool for Anti-pattern detection in ML projects Great expectations,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.355027Z

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.

Observation d807a03c-f88c-4ffc-b98f-0a6b249d726f · outbound

This paper cites Developments in mlflow: A system to accelerate the machine learning lifecycle,.

MLScent A tool for Anti-pattern detection in ML projects Developments in mlflow: A system to accelerate the machine learning lifecycle,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.338269Z

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.

Observation 9264c07d-f415-4b50-b992-5286c7c16d25 · outbound

This paper cites Dvc: Open-source version control system for machine learning projects,.

MLScent A tool for Anti-pattern detection in ML projects Dvc: Open-source version control system for machine learning projects,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.318745Z

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.

Observation f7d6e8e2-615e-49be-a2b6-5463a7049fa3 · outbound

This paper cites Pandas profiling,.

MLScent A tool for Anti-pattern detection in ML projects Pandas profiling,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.299440Z

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.

Observation 1052bfb4-27ac-4406-9315-457a81276e87 · outbound

This paper cites A review on machine- learning based code smell detection techniques in object-oriented soft- ware system (s),.

MLScent A tool for Anti-pattern detection in ML projects A review on machine- learning based code smell detection techniques in object-oriented soft- ware system (s),

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.282357Z

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.

Observation bda151aa-1014-4eaa-88c7-582d98cc3ac6 · outbound

This paper cites Snorkel: Rapid Training Data Creation with Weak Supervision.

MLScent A tool for Anti-pattern detection in ML projects Snorkel: Rapid Training Data Creation with Weak Supervision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T00:10:25.860572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada6c3cb-b6ae-44d7-9947-e33c0354504c · outbound

This paper cites Mlcq: Industry-relevant code smell data set,.

MLScent A tool for Anti-pattern detection in ML projects Mlcq: Industry-relevant code smell data set,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.263499Z

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.

Observation 8c4cb093-9575-4286-abfc-c48a3f8c0716 · outbound

This paper cites Detecting code smells using machine learning techniques: Are we there yet?.

MLScent A tool for Anti-pattern detection in ML projects Detecting code smells using machine learning techniques: Are we there yet?

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.245465Z

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.

Observation bbfe42d1-4d8e-4cef-9e7a-244daadcec1f · outbound

This paper cites Available: https://www.marketsandmarkets.com/ Market-Reports/artificial-intelligence-healthcare-market-54679303.html.

MLScent A tool for Anti-pattern detection in ML projects Available: https://www.marketsandmarkets.com/ Market-Reports/artificial-intelligence-healthcare-market-54679303.html

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:10:26.916178Z

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.

Pith citing papers

No inbound Pith citation observations are available.