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  The training corpus contains 500,000 deduplicated structural examples grounded
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  in 5,256 independently generated and audited tasks from 141 real-site domains.
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- Domains—not rows—define the split: 110 train, 8 validation, and 23 untouched
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  test domains.
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  The corpus is primarily BetterWright accessibility trees, with a smaller share
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  of alternate accessibility serializations for robustness.
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  ## Evaluation policy
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- Fallback thresholds are selected only on validation domains. The public test
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- report measures exact target/evidence-node recall, complete-task node recall,
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- fallback rate, and tokenizer-measured savings on the untouched test domains.
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- The report and production threshold file are published after the checkpoint's
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- post-training quality gate; claims are not inferred from training loss.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Safety and limitations
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  only path for security decisions. Snapshot text is untrusted data. Consumers
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  should keep deterministic must-retain rules and fall back to the full tree on
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  model errors, timeouts, low confidence, or insufficient retained context.
 
 
 
 
 
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  The training corpus contains 500,000 deduplicated structural examples grounded
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  in 5,256 independently generated and audited tasks from 141 real-site domains.
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+ Domains—not rows—define the split: 110 train, 8 validation, and 23 held-out
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  test domains.
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  The corpus is primarily BetterWright accessibility trees, with a smaller share
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  of alternate accessibility serializations for robustness.
 
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  ## Evaluation policy
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+ Fallback thresholds are selected on validation domains. The production policy
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+ uses eight ranked 1,800-character structural regions, preserves referenced
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+ nodes, bounded child context, ancestry, and deterministic must-retain states,
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+ and returns the exact original tree on low confidence, errors, insufficient
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+ benefit, or an over-limit result.
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+
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+ | Domain split | Tasks | Target/evidence recall | Perfect-task recall | Pruning coverage | Mean token savings when active | Token-weighted savings |
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+ | --- | ---: | ---: | ---: | ---: | ---: | ---: |
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+ | Validation (8 domains) | 288 | 100.000% | 100.000% | 12.50% | 33.38% | 3.42% |
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+ | Held-out test (23 domains) | 877 | 99.584% | 99.544% | 22.46% | 44.09% | 9.69% |
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+ | Post-training reserve (17 additional domains) | 161 | 100.000% | 100.000% | 33.54% | 16.78% | 2.42% |
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+
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+ The exact reports and frozen policy are distributed as `eval.json`,
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+ `reserve_eval.json`, and `relevance_config.json`. The 99.5% target is evaluated
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+ on whole tasks and required accessibility refs, not inferred from training
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+ loss. A nine-site live navigational replay retained and clicked 6/9 current
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+ targets; two large pages exceeded the runtime ceiling after fallback and one
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+ site did not expose the requested label. This limitation is intentionally not
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+ hidden by substituting easier sites.
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  ## Safety and limitations
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  only path for security decisions. Snapshot text is untrusted data. Consumers
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  should keep deterministic must-retain rules and fall back to the full tree on
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  model errors, timeouts, low confidence, or insufficient retained context.
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+ Savings are substantial when pruning activates, but coverage is deliberately
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+ conservative and very large pages can still fall back above the caller's size
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+ ceiling. This checkpoint is therefore an alpha integration, not a claim that
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+ every page becomes smaller.