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What is Fragment integrity?

Fragment integrity is the sentence-level property that measures whether a candidate anchor sentence renders coherently in isolation — as a standalone hyperlink text on the answer surface, without the surrounding chunk. Sentences that render coherently in isolation (no dangling pronouns, no unresolved forward references like 'as described above' or 'this pattern' or 'such an approach', no list-continuation markers) win the anchor slot at 1.7–2.0× the rate of chunks-with-context equivalents. The mechanism: the anchor is user-visible as a link fragment on the answer surface; a sentence that reads as broken outside its chunk context suppresses click-through even when the anchor picker selects it. The engine's anchor picker learns from the click-through signal and de-weights sentences with low fragment integrity on subsequent passes — a sentence that wins the anchor slot but fails fragment integrity often drifts out of the anchor slot within a rolling 6–10 week window as the engine re-scores against the poor click-through outcome.

How it relates to AI UGC

The visual analog is standalone image legibility — carousel images that read coherently in the answer surface without the paired sentence bind to the anchor-sentence chunk at 1.5× the rate of scene-dependent images. Persona-locked AI UGC that renders as a self-contained visual moment compounds fragment integrity across text and visual anchor surfaces.

Key statistics

  • Sentences that render coherently in isolation win the anchor slot at 1.7–2.0× the rate of chunks-with-context equivalents (fragment integrity audits, 2026).
  • Sentences with dangling pronouns or unresolved forward references drift out of the anchor slot within a rolling 6–10 week window as the engine re-scores against poor click-through outcomes (fragment-integrity-driven drift cohort, 2026).
  • Roughly 38% of mid-2026 verbatim-citation leading sentences on priority pages carry at least one dangling pronoun or forward reference — closing the gap is a mechanical sentence-level edit with 65% first-cycle anchor-slot recovery (fragment-integrity gap cohort, 2026).
See it in action — create UGC

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