BENCHMARK AUDIT: TRACK 06 • HARDENED FRONTIER SUITES • AUTHOR: GANESH NALLASIVAM

Hardened Frontier Benchmark Suites

Exhaustive evaluation across 4 high-difficulty benchmark suites designed to stress multi-file dependencies, extreme long-context hallucination thresholds, complex tool-call chains, and algorithmic complexity constraints.

RepoBench-P Exact Match

85.0%

100% interface preservation.

BAMBOO 64k Hallucination

2.1%

92.5% dialogue state tracking.

Berkeley BFCL Tool Accuracy

96.0%

70% resolved on-device (36.4ms).

APPS Time Compliance

96.7%

76.7% Pass@1 on hidden suites.

Hardened Benchmark Suite Results & Error Bounds

Target: AtacamaODR Platform

Benchmark Suite	Workload Focus	Target Context	Pass Rate / Accuracy	Failure / Error Rate	System Economics
RepoBench-P	Cross-file completion across 3–6 interdependent modules	16k – 32k tokens	85.0% Exact Match (94.2% Edit Similarity)	0.0% broken imports	95.8% Cost Reduction (70% Resolved On-Device)
BAMBOO 64k	Multi-task long-dialogue state tracking & QA	32k – 64k tokens	92.5% State Tracking (94.8 F1 Score)	2.1% Hallucination Rate	88.8% Token Compaction
Berkeley BFCL	Multi-turn parallel tool dispatch & state recovery	8k – 24k tokens	96.0% Tool Precision (94.0% Execution Success)	4.0% Syntax/Param Faults	36.4ms Mean Turnaround (70% On-Device)
APPS / Algorithmic	Competitive programming with hidden test suites	2k – 8k tokens	76.7% Pass@1 (96.7% Time Compliance)	3.3% TLE Faults	100% Memory Bound (<256MB)

Cross-Module Dependency Bounds

Under multi-file RepoBench scenarios, standard local engines drop foreign module imports when prompts exceed 16k tokens. AtacamaODR preserves 100% of external type declarations while achieving 85.0% exact match completions.

Multi-Turn Tool Execution Precision

On Berkeley BFCL multi-turn tool chains, 70% of function dispatches are executed locally with sub-40ms turnaround times, avoiding cloud API round-trips for repetitive state checks and metadata queries.