> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How can I find the artifacts logged or consumed by a run? How can I find the runs that produced or consumed an artifact?

This page shows you how to trace the relationships between runs and artifacts in W\&B. You can find which run produced or consumed a given artifact, or which artifacts a given run produced or consumed. This is useful for auditing data lineage, debugging pipelines, and understanding how artifacts flow through your experiments.

W\&B tracks the artifacts that each run logs and uses to construct an artifact graph. This graph is a bipartite, directed, acyclic graph with nodes that represent runs and artifacts. See [an example artifact graph](https://wandb.ai/shawn/detectron2-11/artifacts/dataset/furniture-small-val/06d5ddd4deeb2a6ebdd5/graph) and click **Explode** to expand the graph.

Use the W\&B Public API to navigate the graph programmatically, starting from either an artifact or a run. Choose the tab that matches your starting point.

<Tabs>
  <Tab title="From an artifact">
    ```python theme={null}
    api = wandb.Api()

    artifact = api.artifact("[PROJECT]/[ARTIFACT]:[ALIAS]")

    # Walk up the graph from an artifact:
    producer_run = artifact.logged_by()
    # Walk down the graph from an artifact:
    consumer_runs = artifact.used_by()

    # Walk down the graph from a run:
    next_artifacts = consumer_runs[0].logged_artifacts()
    # Walk up the graph from a run:
    previous_artifacts = producer_run.used_artifacts()
    ```
  </Tab>

  <Tab title="From a run">
    ```python theme={null}
    api = wandb.Api()

    run = api.run("[ENTITY]/[PROJECT]/[RUN_ID]")

    # Walk down the graph from a run:
    produced_artifacts = run.logged_artifacts()
    # Walk up the graph from a run:
    consumed_artifacts = run.used_artifacts()

    # Walk up the graph from an artifact:
    earlier_run = consumed_artifacts[0].logged_by()
    # Walk down the graph from an artifact:
    consumer_runs = produced_artifacts[0].used_by()
    ```
  </Tab>
</Tabs>

***

<Badge stroke shape="pill" color="orange" size="md">[Artifacts](/support/models/tags/artifacts)</Badge>