[Team PaLM] — TRP1 FDE Programme, April 2026

[yosef-zewdu]

Summary

• Pass@1: 0.474
• Trials: 5 runs per query
• Agent name: Oracle Forge
• Backbone LLM: Gemini 3.1 pro preview (via OpenRouter)
• Hints: Context Layer

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Architecture

• ContextManager curated domain KB, AGENT.md and corrections log
• AgenticLoop — LLM-driven tool execution max 30 iterations per query.
• ExecutionEngine/ MCPToolbox — hybrid routing: Google MCP Toolbox for PostgreSQL/SQLite/MongoDB; DuckDB MCP server for DuckDB.
• SelfCorrectionLoop — failure categorisation, LLM-guided repair, known join-key fixes, max 3 retries, outcomes logged back into Layer 3.

Per-Dataset Results

Dataset	Pass@1
agnews	0.25
bookreview	1.00
crmarenapro	0.60
deps_dev_v1	0.00
github_repos	0.00
googlelocal	0.65
music_brainz_20k	0.67
pancancer_atlas	1.00
patents	0.00
stockindex	0.60
stockmarket	0.44
yelp	0.31
OVERALL	0.47

[shreyashankar]

Hi @yosef-zewdu — we're missing coverage. The file has 30 entries across 9 of 12 datasets (missing GITHUB_REPOS, PANCANCER_ATLAS, music_brainz_20k) and 28 of 54 queries, with 1–2 runs each. Per the instructions in the README, we need every query across all 12 datasets with at least 5 runs per query. If you didn't attempt some queries, include those entries with "answer": "". Once it's in I'll re-run verification and post the Pass@1 here.

[yosef-zewdu]

@shreyashankar Thanks for the response. We will get back as the instruction suggest.

[yosef-zewdu]

Hello @shreyashankar , I have updated our submission with 5 runs per query as you mentioned. We have also updated the results. I request a re run for verification.

[yosef-zewdu]

Hello @Ruiying-Ma, could you please take a look at this PR. I am following up because all requested 5-run evaluation data has been pushed and updated.

Thank you for your time!

[Ruiying-Ma]

Hello @yosef-zewdu! Sorry for the delayed reply. Would you mind also sharing the traces for all runs across all queries (for example, as a zip file)? We’ll use them for additional validation checks. Once we have them, we’ll re-run the verification and post the Pass@1 results here. Thank you!

[yosef-zewdu]

Thanks for the response @Ruiying-Ma. Here are the traces for all runs
runs.zip

[Ruiying-Ma]

Hi @yosef-zewdu — verified with common_scaffold/validate/validate.py:

Pass@1 = 0.4607 (stratified) — average across the 12 datasets of the per-dataset average across queries of c/n. This is the leaderboard metric.
Pass@1 = 0.4741 (micro) — total passes / total runs across all 270 trials. Equal weight per (query, run).

We put 0.4607 on the leaderboard, which now links back to this PR. Thanks for the submission! Closing.