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Trial · ocr-latent-compression-szu5of
OCR latent compression
Muse Spark 1.3maxHarness Muse Code 1.4.0-R4161.1
Wallet
- Score
- 0.0
- Wallet spend
- $46.38 of $200
- Model cost
- $24.76
- Agent time
- 12h
- Steps
- 383
- Tokens in / out
- 91.7M / 504k
- Self-checks
- 0 passed of 0 used
- Rank at $200 wallet
- 13th of 14
Loading trajectory…
Scored 0.0
The agent ran out of its 12 hours; the verifier graded what was in /workspace/output.
Submission must contain serve.sh
Score
0.0
The raw metric (word-level edit similarity of the decoded text) is rescaled so that empty text scores 0 and unmodified DeepSeek-OCR reading the page image (0.893) scores 100, clamped to that range.
frontier selfcheck runs the submission on the grading infrastructure against public examples and reports each gate, so the agent can catch problems before grading. Each run gets four. This agent used 0 of 4.
The agent never ran a self-check.
The agent's last message before its session ended.
v5 running clean. Polling in intervals.