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Research phase · F600

F600 — Foundation Learning Diagnosis

F600 covers “Foundation Learning Diagnosis”. The canonical record classifies it as failed/revert, based on 2 source artifacts and 0 original source figures. The highlighted measurements are Gate Candidate Promoted False = Yes, Tiny Overfit Action Correct = 167, and Tiny Overfit Pseudo Word Ratio = 0.

F600 Failed/Revert Not recorded
StatusFailed/Revert
VerdictNot recorded
Source figures0
Artifacts2

Purpose and research question

The objective is to document the recorded outcome for “Foundation Learning Diagnosis”. The research question is whether the phase-specific checks support the canonical failed/revert classification. The recorded measurements include Gate Candidate Promoted False = Yes, Tiny Overfit Action Correct = 167, and Tiny Overfit Pseudo Word Ratio = 0.

Method

F600 is documented by 1 structured JSON record and 1 Markdown report and 0 original source figures. The reported table retains safe scalar measurements found in that phase package.

Documentation basis

2 source artifacts and 0 phase-specific figures are recorded for this phase.

Evidence highlights

  • Gate Candidate Promoted False: Yes
  • Tiny Overfit Action Correct: 167
  • Tiny Overfit Pseudo Word Ratio: 0
  • Tiny Overfit Copy Rate: 0.265
  • Tiny Overfit Score: 0.835
  • Train 1k Action Correct: 875
  • Train 1k Pseudo Word Ratio: 0
  • Train 1k Copy Rate: 0.343

Recorded evidence

Gate Candidate Promoted FalseYes
Tiny Overfit Action Correct167
Tiny Overfit Pseudo Word Ratio0
Tiny Overfit Copy Rate0.265
Tiny Overfit Score0.835
Train 1k Action Correct875
Train 1k Pseudo Word Ratio0
Train 1k Copy Rate0.343

Public evidence and source figures

No phase-specific figure recorded

The current public archive does not attach a benchmark image to this phase. The source artifacts and recorded measurements remain listed below.

Result and interpretation

F600 Foundation Learning Diagnosis Not recorded

F600 remains failed under the recorded decision no explicit terminal verdict. The recorded measurements include Gate Candidate Promoted False = Yes, Tiny Overfit Action Correct = 167, Tiny Overfit Pseudo Word Ratio = 0, and Tiny Overfit Copy Rate = 0.265. These values define the negative phase result.

Gate Candidate Promoted False
Yes
Tiny Overfit Action Correct
167
Tiny Overfit Pseudo Word Ratio
0
Tiny Overfit Copy Rate
0.265
Tiny Overfit Score
0.835
Train 1k Action Correct
875
Train 1k Pseudo Word Ratio
0
Train 1k Copy Rate
0.343

Evidence sources

Values on this page are reproduced from the archived phase record and the source artifacts below. No new benchmark was run to create this page.

  • FOUNDATION LEARNING DIAGNOSIS F600 (JSON)
  • FOUNDATION LEARNING DIAGNOSIS F600 (MD)