Paper Citation Record · LEDGER

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.02302.

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

pith.paper-citation-record.v1
2205.02302 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:43:19.416571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:46.128128Z

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 4c8a1ef9-4135-4c87-b98c-00e5c848d38f · inbound

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift cites this paper.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:19.416571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f91520-dc59-4302-9aad-b2f61940663a · inbound

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE cites this paper.

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:34:29.203997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d54d3cf4-e4cf-41c1-86fb-4e99a1676813 · inbound

A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights cites this paper.

A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 21

Resolution: malformed identifier; arxiv_id, observed 2026-05-15T00:43:24.444114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db51a869-9a76-46ed-87db-37041cfc76ac · inbound

GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science cites this paper.

GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:48:46.129653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-07-12T03:38:53.358399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60426047-76c1-4370-99a1-2a391c45563f · inbound

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees cites this paper.

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T08:50:38.408509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.