Research Loop Audit — auto-continue-20260607T140730Z-repair-loop06

Research Loop Audit

Run ID: auto-continue-20260607T140730Z-repair-loop06

Status: blocked

⚠ User input needed

reviewer codex exec failed (exit 1): codex exited 1 but wrote no output to /home/dev/research_loop/runs/auto-continue-20260607T140730Z-repair-loop06/agent_io/iter001_reviewer_c1/output.md OpenAI Codex v0.137.0 -------- workdir: /home/dev model: gpt-5.5 provider: openai approval: never sandbox: danger-full-access reasoning effort: medium reasoning summaries: none session id: 019ea2ab-e0fb-7b63-b088-0c8aca8e9bb4 -------- user You are the Reviewer agent. You verify work quality but do NOT fix issues. ## Your job Review the **persisted artifact file contents** against the task acceptance criteria. Mechanical checks (file exists, tickers present, PRIMARY/SECONDARY labels) are already verified by the harness — focus on content quality. ## Output format Start with exactly one of: VERDICT: PASS or VERDICT: CHANGES_REQUIRED If

Public URL: http://204.168.210.83:8130/research-loop/auto-continue-20260607T140730Z-repair-loop06/index.html

Original goal

# Goal

Build a sourceability map for a future "data-center forecast vs actual" dataset.
The final dataset should track, quarter by quarter, what public companies forecasted
about AI/data-center capacity and what they actually delivered. It should identify
source URLs, extractable metrics, update cadence, caveats, and the best MVP company set.

## Target Companies

ORCL, MSFT, AMZN, GOOGL, META, CoreWeave, DLR, EQIX, IRM, APLD, CORZ, IREN, WULF,
CIFR, HUT, NBIS/Nebius, NVDA, Vertiv, Eaton.

## Metrics Of Interest

- live capacity
- capacity added this quarter
- capacity under construction
- future capacity / pipeline
- secured power
- lease commitments
- cloud capacity commitments
- capex actuals
- capex guidance
- RPO / backlog
- revenue conversion
- pre-leased percentage
- expected commencement window

## Source Preference

Primary:
- SEC 10-Q / 10-K / 8-K
- investor presentations
- earnings press releases
- earnings call transcripts
- quarterly supplements
- company IR pages

Secondary discovery:
- Data Center Dynamics
- Data Center Frontier
- The Buildout
- SemiAnalysis
- Structure Research

Use secondary sources for discovery only unless they quote exact management statements.

Current task

Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.

Completed tasks

Task history

Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.

DLR is the schema stress test called out in the production gates, and the current run has no trusted artifacts. Fixing one repeatable company extractor with validation is higher leverage than adding another prose sourceability map.

Status: in_progress

Review cycles: 1

Acceptance criteria

Produces DLR structured rows in CSV and JSON with every required field populated or explicitly caveated.
Rows distinguish approximate and greater-than values, 100% share vs DLR share, consolidated vs unconsolidated or JV basis, actual vs forecast, and derived vs directly reported values.
Source manifest lists direct primary-source URLs, source type, period, expected table or section, and access caveats for every cited DLR source.
Validation script checks required fields, row count, source URLs, unit normalization, ownership basis, forecast_or_actual, derived flag, snippet presence, and snippet_support_status.
Validation output is saved as machine-readable JSON and shows pass/fail status for each check.

Expected artifacts

artifacts/dlr/source_manifest.csv
artifacts/dlr/dlr_structured_rows.csv
artifacts/dlr/dlr_structured_rows.json
artifacts/dlr/extract_dlr.py
artifacts/dlr/validate_dlr_rows.py
artifacts/dlr/validation_results.json

Agent calls & decisions

Time	Iter	Role	Task	Decisions	Blockers	Artifacts
2026-06-07T15:08:37.405926+00:00	0	system	start	[ "run started" ]	[]
2026-06-07T15:09:01.655455+00:00	1	planner	Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.	[ "DLR is the schema stress test called out in the production gates, and the current run has no trusted artifacts. Fixing one repeatable company extractor with validation is higher leverage than adding another prose sourceability map." ]	[]
2026-06-07T15:19:52.096486+00:00	1	worker	Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.	[ "Decisions", "Built a repaired DLR MVP package focused on `2026Q1`. I kept the row schema exactly production-gate oriented, added DLR-specific basis categories, and included explicit qualifier coverage for `approximate`, `greater_than`, `less_than_or_equal`, `range`, and derived values. Validation passes with 29 structured rows.", "Evidence", "PRIMARY sources consulted:", "- Digital Realty Q1 2026 Financial Supplement: https://investor.digitalrealty.com/static-files/953419cb-91ee-4485-8017-26ee0b29bb2a", "- Digital Realty Q1 2026 earnings release: https://investor.digitalrealty.com/news-releases/news-release-details/digital-realty-reports-first-quarter-2026-results", "- Digital Realty Q4 2025 supplement source family: https://investor.digitalrealty.com/static-files/4bac803d-f2a7-400a-b4db-1e8804a60414", "- Digital Realty 2025 10-K filing page: https://investor.digitalrealty.com/sec-filings/sec-filing/10-k/0001104659-26-015365" ]	[]	dlr/dlr_structured_rows.csv, dlr/dlr_structured_rows.json, dlr/extract_dlr.py, dlr/source_manifest.csv, dlr/validate_dlr_rows.py, dlr/validation_results.json, dlr_structured_rows.csv, dlr_structured_rows.json, extract_dlr.py, source_manifest.csv, validate_dlr_rows.py, validation_results.json
2026-06-07T15:21:17.741500+00:00	1	reviewer	Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.	[]	[ "reviewer codex exec failed (exit 1): codex exited 1 but wrote no output to /home/dev/research_loop/runs/auto-continue-20260607T140730Z-repair-loop06/agent_io/iter001_reviewer_c1/output.md\nOpenAI Codex v0.137.0\n--------\nworkdir: /home/dev\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: medium\nreasoning summaries: none\nsession id: 019ea2ab-e0fb-7b63-b088-0c8aca8e9bb4\n--------\nuser\nYou are the Reviewer agent. You verify work quality but do NOT fix issues.\n\n## Your job\n\nReview the persisted artifact file contents against the task acceptance criteria. Mechanical checks (file exists, tickers present, PRIMARY/SECONDARY labels) are already verified by the harness \u2014 focus on content quality.\n\n## Output format\n\nStart with exactly one of:\n\nVERDICT: PASS\n\nor\n\nVERDICT: CHANGES_REQUIRED\n\nIf" ]	dlr/dlr_structured_rows.csv, dlr/dlr_structured_rows.json, dlr/extract_dlr.py, dlr/source_manifest.csv, dlr/validate_dlr_rows.py, dlr/validation_results.json, dlr_structured_rows.csv, dlr_structured_rows.json, extract_dlr.py, source_manifest.csv, validate_dlr_rows.py, validation_results.json
2026-06-07T15:21:17.778482+00:00	1	system	Repair the existing DLR extraction package so it passes the production schema and provenance gates: rerun or patch the DLR extractor to emit validated structured rows with required fields, DLR-specific ownership-basis handling, primary-source snippets, and machine-readable validation results.	[ "run blocked" ]	[ "reviewer codex exec failed (exit 1): codex exited 1 but wrote no output to /home/dev/research_loop/runs/auto-continue-20260607T140730Z-repair-loop06/agent_io/iter001_reviewer_c1/output.md\nOpenAI Codex v0.137.0\n--------\nworkdir: /home/dev\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: medium\nreasoning summaries: none\nsession id: 019ea2ab-e0fb-7b63-b088-0c8aca8e9bb4\n--------\nuser\nYou are the Reviewer agent. You verify work quality but do NOT fix issues.\n\n## Your job\n\nReview the persisted artifact file contents against the task acceptance criteria. Mechanical checks (file exists, tickers present, PRIMARY/SECONDARY labels) are already verified by the harness \u2014 focus on content quality.\n\n## Output format\n\nStart with exactly one of:\n\nVERDICT: PASS\n\nor\n\nVERDICT: CHANGES_REQUIRED\n\nIf" ]	dlr/dlr_structured_rows.csv, dlr/dlr_structured_rows.json, dlr/extract_dlr.py, dlr/source_manifest.csv, dlr/validate_dlr_rows.py, dlr/validation_results.json, dlr_structured_rows.csv, dlr_structured_rows.json, extract_dlr.py, source_manifest.csv, validate_dlr_rows.py, validation_results.json

Time

Iter

Role

Task

Verdict

Decisions

Blockers

Artifacts

2026-06-07T15:08:37.405926+00:00

system

start

[
  "run started"
]

[]

2026-06-07T15:09:01.655455+00:00

planner

[
  "DLR is the schema stress test called out in the production gates, and the current run has no trusted artifacts. Fixing one repeatable company extractor with validation is higher leverage than adding another prose sourceability map."
]

[]

2026-06-07T15:19:52.096486+00:00

worker

[
  "**Decisions**",
  "Built a repaired DLR MVP package focused on `2026Q1`. I kept the row schema exactly production-gate oriented, added DLR-specific basis categories, and included explicit qualifier coverage for `approximate`, `greater_than`, `less_than_or_equal`, `range`, and derived values. Validation passes with 29 structured rows.",
  "**Evidence**",
  "PRIMARY sources consulted:",
  "- Digital Realty Q1 2026 Financial Supplement: https://investor.digitalrealty.com/static-files/953419cb-91ee-4485-8017-26ee0b29bb2a",
  "- Digital Realty Q1 2026 earnings release: https://investor.digitalrealty.com/news-releases/news-release-details/digital-realty-reports-first-quarter-2026-results",
  "- Digital Realty Q4 2025 supplement source family: https://investor.digitalrealty.com/static-files/4bac803d-f2a7-400a-b4db-1e8804a60414",
  "- Digital Realty 2025 10-K filing page: https://investor.digitalrealty.com/sec-filings/sec-filing/10-k/0001104659-26-015365"
]

[]

dlr/dlr_structured_rows.csv, dlr/dlr_structured_rows.json, dlr/extract_dlr.py, dlr/source_manifest.csv, dlr/validate_dlr_rows.py, dlr/validation_results.json, dlr_structured_rows.csv, dlr_structured_rows.json, extract_dlr.py, source_manifest.csv, validate_dlr_rows.py, validation_results.json

2026-06-07T15:21:17.741500+00:00

reviewer

[]

[
  "reviewer codex exec failed (exit 1): codex exited 1 but wrote no output to /home/dev/research_loop/runs/auto-continue-20260607T140730Z-repair-loop06/agent_io/iter001_reviewer_c1/output.md\nOpenAI Codex v0.137.0\n--------\nworkdir: /home/dev\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: medium\nreasoning summaries: none\nsession id: 019ea2ab-e0fb-7b63-b088-0c8aca8e9bb4\n--------\nuser\nYou are the Reviewer agent. You verify work quality but do NOT fix issues.\n\n## Your job\n\nReview the **persisted artifact file contents** against the task acceptance criteria. Mechanical checks (file exists, tickers present, PRIMARY/SECONDARY labels) are already verified by the harness \u2014 focus on content quality.\n\n## Output format\n\nStart with exactly one of:\n\nVERDICT: PASS\n\nor\n\nVERDICT: CHANGES_REQUIRED\n\nIf"
]

2026-06-07T15:21:17.778482+00:00

system

[
  "run blocked"
]

[
  "reviewer codex exec failed (exit 1): codex exited 1 but wrote no output to /home/dev/research_loop/runs/auto-continue-20260607T140730Z-repair-loop06/agent_io/iter001_reviewer_c1/output.md\nOpenAI Codex v0.137.0\n--------\nworkdir: /home/dev\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: medium\nreasoning summaries: none\nsession id: 019ea2ab-e0fb-7b63-b088-0c8aca8e9bb4\n--------\nuser\nYou are the Reviewer agent. You verify work quality but do NOT fix issues.\n\n## Your job\n\nReview the **persisted artifact file contents** against the task acceptance criteria. Mechanical checks (file exists, tickers present, PRIMARY/SECONDARY labels) are already verified by the harness \u2014 focus on content quality.\n\n## Output format\n\nStart with exactly one of:\n\nVERDICT: PASS\n\nor\n\nVERDICT: CHANGES_REQUIRED\n\nIf"
]

Generated 2026-06-07T15:21:17.819881+00:00