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Research phase · F523

F523 — Assistant Corpus Filter

F523 covers “Assistant Corpus Filter”. The canonical record classifies it as validated, based on 2 source artifacts and 1 original source figure. The highlighted measurements are Openai Api Used = No, Rag Used = No, and Training Started = No.

F523 Validated PASS
StatusValidated
VerdictPASS
Source figures1
Artifacts2

Purpose and research question

The objective is to document the recorded outcome for “Assistant Corpus Filter”. The research question is whether the phase-specific checks support the canonical validated classification. The recorded measurements include Openai Api Used = No, Rag Used = No, and Training Started = No.

Method

F523 is documented by 1 structured JSON record and 1 Markdown report and 1 original source figure. The reported table retains safe scalar measurements found in that phase package.

Documentation basis

2 source artifacts and 1 phase-specific figure are recorded for this phase.

Evidence highlights

  • Openai Api Used: No
  • Rag Used: No
  • Training Started: No
  • Checkpoint Touched: No
  • Status: PASS

Recorded evidence

Openai Api UsedNo
Rag UsedNo
Training StartedNo
Checkpoint TouchedNo
StatusPASS

Public evidence and source figures

F523 benchmark evidence — Assistant Corpus Filter 523
Assistant Corpus Filter 523
Original source figure · 1903 × 921 px

These are original source figures from the existing public evidence set, not editorial HTML visualizations.

Result and interpretation

F523 Assistant Corpus Filter PASS

F523 is classified as validated with the recorded decision PASS. The recorded measurements include Openai Api Used = No, Rag Used = No, Training Started = No, and Checkpoint Touched = No.

Openai Api Used
No
Rag Used
No
Training Started
No
Checkpoint Touched
No
Status
PASS

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.

  • ASSISTANT CORPUS FILTER 523 (JSON)
  • ASSISTANT CORPUS FILTER 523 (MD)