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Paper Citation Record · LEDGER

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.03270.

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

pith.paper-citation-record.v1
2607.03270 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:38:53.358399Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 5f7f37d8-4e0f-4848-97a7-cb73f70a7a50 · outbound

This paper cites Why do 87% of data science projects never make it into production?.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Why do 87% of data science projects never make it into production?

Reference 1

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Observation 703e1ee4-a0b1-4c26-b0fe-6a23912c3bbc · outbound

This paper cites Gartner identifies the top strategic technology trends for 2022,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Gartner identifies the top strategic technology trends for 2022,

Reference 2

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Observation d15ddbdd-ffc6-48b7-9f4a-22ec9d180449 · outbound

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

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Hidden technical debt in machine learning systems,

Reference 3

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Observation a91f2aec-3f49-48e2-bde9-934765db08ac · outbound

This paper cites MLOps: challenges in multi-organization setup: Experiences from two real-world cases,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront MLOps: challenges in multi-organization setup: Experiences from two real-world cases,

Reference 4

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Observation b195efaf-f09a-4afe-98f5-bc55782f8505 · outbound

This paper cites Using AntiPatterns to avoid MLOps Mistakes.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Using AntiPatterns to avoid MLOps Mistakes

Reference 5

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Observation 16d3f73e-86bb-4b00-b9a5-cbe6036d3490 · outbound

This paper cites Concolic testing for deep neural networks,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Concolic testing for deep neural networks,

Reference 6

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Observation 20c2a71c-f4d6-449c-bc67-3c2a805979a5 · outbound

This paper cites DeepTest: Automated testing of deep-neural-network-driven autonomous cars,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront DeepTest: Automated testing of deep-neural-network-driven autonomous cars,

Reference 7

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Observation 82169408-ae67-4406-950d-881f7378f7fb · outbound

This paper cites MODE: Automated neural network model debugging via state differential analysis and input selection,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront MODE: Automated neural network model debugging via state differential analysis and input selection,

Reference 8

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Observation dc9ca1f8-eb50-4e6a-baa9-2df3310f3539 · outbound

This paper cites Machine Learning Operations (MLOps): Overview, Definition, and Architecture.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 9

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Observation 3447f301-e22f-4c99-94ef-e750ddd870d6 · outbound

This paper cites Is software engineering research addressing software engineering problems? (keynote),.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Is software engineering research addressing software engineering problems? (keynote),

Reference 10

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Observation 8095fa22-adeb-4aaf-8918-c1899c3f72da · outbound

This paper cites Collaboration challenges in building ml-enabled systems: Communication, documentation, en- gineering, and process,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Collaboration challenges in building ml-enabled systems: Communication, documentation, en- gineering, and process,

Reference 11

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Observation 6055b339-a256-438f-bfcd-19e8e42348fc · outbound

This paper cites Garousi, M.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Garousi, M

Reference 12

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Observation 0c71daa4-bf9e-466c-b16d-10f8022c46b4 · outbound

This paper cites Using thematic analysis in psychology,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Using thematic analysis in psychology,

Reference 13

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Observation fc56a149-1e52-497b-b084-b643ba6c9d7e · outbound

This paper cites Braun, V.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Braun, V

Reference 14

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Observation d6227914-590b-41d5-807e-aa88d35e276d · outbound

This paper cites Reel life vs. real life: How software developers share their daily life through vlogs,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Reel life vs. real life: How software developers share their daily life through vlogs,

Reference 15

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Observation bb3ef827-6bce-4f52-847f-c28cdb927e1a · outbound

This paper cites The pains and gains of microservices: A systematic grey literature review,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront The pains and gains of microservices: A systematic grey literature review,

Reference 16

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Observation bb0437f3-b26f-4970-a2cd-190031f3b3e1 · outbound

This paper cites On the practitioners’ under- standing of coupling smells — a grey literature based grounded-theory study,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront On the practitioners’ under- standing of coupling smells — a grey literature based grounded-theory study,

Reference 17

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Observation f4f13622-a4a7-4a9d-b134-2f47123ed891 · outbound

This paper cites How do committees invent?.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront How do committees invent?

Reference 18

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Observation 37947bc7-a384-4413-a2cf-be206f2127f5 · outbound

This paper cites Splitting the organization and integrating the code: Conway’s Law revisited,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Splitting the organization and integrating the code: Conway’s Law revisited,

Reference 19

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Observation 93532a8a-51de-4bb8-940a-4e21b6729757 · outbound

This paper cites Reflecting on reflexive thematic analysis,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Reflecting on reflexive thematic analysis,

Reference 20

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Observation 7c2104f5-67c8-465f-b8fd-21c2f0be267b · outbound

This paper cites Examining the use of thematic analysis as a tool for informing design of new family communication technologies,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Examining the use of thematic analysis as a tool for informing design of new family communication technologies,

Reference 21

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Observation a6c95a50-4710-4f38-81db-a30d6f47c69c · outbound

This paper cites Can i use ta? Should i use ta? Should i not use ta? Comparing reflexive thematic analysis and other pattern- based qualitative analytic approaches,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Can i use ta? Should i use ta? Should i not use ta? Comparing reflexive thematic analysis and other pattern- based qualitative analytic approaches,

Reference 22

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Observation 35e34f59-9cd8-460a-adf7-ccc0842a517b · outbound

This paper cites an unresolved cited work.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Unresolved cited work

Reference 23

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Observation 95ba00bb-2ef4-4285-a915-f2eae85574d8 · outbound

This paper cites R ´esum´e-driven development: A definition and empirical characterization,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront R ´esum´e-driven development: A definition and empirical characterization,

Reference 24

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Observation e0fb9d4a-8b58-44bb-9110-b4fc1d82d88c · outbound

This paper cites Data scientists in software teams: State of the art and challenges,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Data scientists in software teams: State of the art and challenges,

Reference 25

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Observation 428f9a9c-a3a9-4e0b-970c-0edbf0d161d9 · outbound

This paper cites Software engineering challenges of deep learning,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Software engineering challenges of deep learning,

Reference 26

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Observation 315b4611-4f9d-4b91-b3c6-53edefdaa270 · outbound

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

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Software engineering for machine learning: A case study,

Reference 27

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Observation d564a3e0-cb71-46eb-92c9-bceacfb073d6 · outbound

This paper cites Social debt in software engineering: Insights from industry,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Social debt in software engineering: Insights from industry,

Reference 28

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Observation d4835652-6746-4cb3-90b0-a5f005f754a1 · outbound

This paper cites Socio-technical con- gruence: a framework for assessing the impact of technical and work dependencies on software development productivity,.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Socio-technical con- gruence: a framework for assessing the impact of technical and work dependencies on software development productivity,

Reference 29

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Observation a0c0f0b7-da12-445a-993a-731bcfc2358c · outbound

This paper cites High Stakes ML: Active Failures, Latent Fac- tors.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront High Stakes ML: Active Failures, Latent Fac- tors

Reference 30

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Observation 78ef08d7-d098-4e7e-bcf5-1e7ed2a3e1ba · outbound

This paper cites Law of Diminishing Returns for Running AI Proof-of-Concepts.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Law of Diminishing Returns for Running AI Proof-of-Concepts

Reference 31

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Observation 7312877b-7a21-48dd-8cd1-d1868696084f · outbound

This paper cites Continuous Integration for ML.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Continuous Integration for ML

Reference 32

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Observation 216dc366-f295-46aa-86ec-e774dcc2681a · outbound

This paper cites How to Choose the Right Machine Learning Tool: A Conversation.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront How to Choose the Right Machine Learning Tool: A Conversation

Reference 33

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source=pdf_text observed=2026-07-12T03:38:53.358399Z digest=sha256:6727e8ae5ff00f1ce5e186ceff021db58ba2394cec47746cc81202ac37a4aaba

Observation 167c22a3-7902-4f0d-b2a7-86336b7a75db · outbound

This paper cites Data Observability: The Next Frontier of Data En- gineering.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Data Observability: The Next Frontier of Data En- gineering

Reference 34

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Observation f9c400eb-d516-4d0d-b937-89a0f71f472f · outbound

This paper cites Practical MLOps.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Practical MLOps

Reference 35

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source=pdf_text observed=2026-07-12T03:38:53.358399Z digest=sha256:5477012bbb66469c5d18da9bc94a9cb2379779b4c25e1a7eb94403a794c16005

Observation dce8c904-5bf9-4551-b599-2147ab4b62e4 · outbound

This paper cites War Stories Productionising ML.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront War Stories Productionising ML

Reference 36

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Observation 987ca340-4655-4750-ba14-b2e71c263f18 · outbound

This paper cites Maturing Machine Learning in Enterprise.

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront Maturing Machine Learning in Enterprise

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