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

# Baselines and regressions

> Compare a cell with its first scored result

The first scored result for a cell becomes its fixed baseline. No promotion is required. A cell with no scored trials cannot create one.

| Verdict        | Meaning                                                                                  |
| -------------- | ---------------------------------------------------------------------------------------- |
| `improved`     | Pass rate increased by at least `0.2`; this takes precedence over determinism loss       |
| `unchanged`    | Pass rate moved by less than `0.2` and determinism was not lost                          |
| `regressed`    | Pass rate fell by at least `0.2`, or moved by less than `0.2` while determinism was lost |
| `incomparable` | The baseline or candidate has no scored trials                                           |

```ts theme={null}
const comparison = run.cells[0]?.comparison;

if (comparison?.verdict === "regressed") {
  console.error(comparison);
}
```

The baseline run has `comparison: null` because a cell is never compared with itself.

## Cell identity

The cell key includes the case goal, source, setup, verifier, harness, harness version, model, and sandbox provider. Changing any of them starts a new history.

The shared prompt is not part of the key. This keeps prompt changes comparable against the same task and runtime.

## Determinism loss

A candidate can regress without moving pass rate by `0.2`. If a deterministic baseline loses outcome agreement or its four-command window across multiple scored trials, `determinismLost` is true. The verdict is `regressed` unless pass rate improved by at least `0.2`.

## Read history

```ts theme={null}
const cell = run.cells[0];

if (!cell?.cellKey) throw new Error("Run produced no cell key");

const history = await anpord.evals.cellHistory({ cellKey: cell.cellKey });
for (const result of history) {
  console.log(result.runId, result.distribution.passRate, result.trials);
}
```

History returns the twenty most recent distributions and trials, newest first.

## Rerun one cell

```ts theme={null}
const next = await anpord.evals.rerunCell({
  id: run.id,
  cellKey: cell.cellKey,
  trials: 5,
});
```

The rerun creates a new run. The original result does not change.