Towards Observability for Machine Learning Pipelines
Summary: Introduce MLTRACE, a platform-agnostic observability layer that unifies telemetry, provenance, metrics and lineage across heterogeneous ML pipeline stages to enable cross-stage root-cause analysis. Prototype shows unified tracing eases debugging of unexpected outputs and quality regressions in production. (summarized by gpt-5-mini on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,116 | Towards Observability for Production Machine Learning Pipelines | 2022 | VLDB | 4.3886184e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,157 | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis | 2018 | SIGMOD | 9.4153917e-05 |
| 2,164 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.3953268e-05 |
| 3,866 | Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML | 2020 | CIDR | 6.6795497e-05 |
| 4,197 | Overton: A Data System for Monitoring and Improving Machine-Learned Products | 2020 | CIDR | 6.3625568e-05 |
| 4,731 | MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines | 2021 | SIGMOD | 5.9558692e-05 |
| 5,698 | Dagger: A Data (not code) Debugger | 2020 | CIDR | 5.3669165e-05 |
| 6,735 | Hindsight Logging for Model Training | 2021 | VLDB | 4.9420202e-05 |
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