File size: 2,137 Bytes
1b5d7ac d606d10 1b5d7ac d606d10 1b5d7ac d606d10 1b5d7ac d606d10 1b5d7ac d606d10 1b5d7ac | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | # Provenance
This package is an anonymous reviewer artifact for SmartGridBench.
## Source Versions
- Package version: `neurips2026-review-v1`
- Package refreshed UTC: `2026-05-07T10:35:14Z`
- Package source snapshot SHA: `c9c2b6c6a2c85d97570f37a3d5c77d3d9ef136a8`
- Artifact import SHA: `c9c2b6c6a2c85d97570f37a3d5c77d3d9ef136a8`
- Evidence capture floor SHA: `1913c6e4703425f735d8cb8297cb890ba66bbeff`
The source snapshot SHA identifies the reviewed repository state used to prepare this package. The evidence capture floor SHA identifies the clean source state used by the main paper-grade experiment captures. The artifact import SHA identifies the final repository state used for the reviewer-facing evidence refresh.
## Included
- 36 canonical scenario JSON files: 31 hand-authored scenarios plus 5 generated scenarios promoted after validation and manual review.
- 5 negative schema fixtures.
- Paper-grade evidence registry and summary CSVs.
- Compact per-trial judge scores for paper-grade rows, with private URLs and absolute operator paths removed.
- Current failure-taxonomy surface and 46-row stratified manual-audit sidecars with reviewer identities and machine paths redacted.
- Current post-PR175 mitigation before/after export, with private run URLs and local generated-config paths redacted.
- Compact profiling/W&B inventory, with private run URLs, run IDs, and private artifact names redacted.
- 12-row manual judge audit sanity table.
## Excluded
- Raw upstream utility or telemetry datasets that are not redistributed in this artifact.
- VM-local logs, credentials, private run URLs, and full trajectory logs with environment-specific paths.
- Generated scenario candidates that were not promoted into the canonical 36-scenario package.
- Invalid or superseded cohorts except as explicit exclusion rows in `data/evidence_registry.csv`.
## Anonymization Notes
This package is intended for double-blind review. It avoids author names, institutional names, private run URLs, local usernames, and machine-specific absolute paths. Relative benchmark paths are preserved when useful for joining evidence tables.
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