it(<ref>) — say which earlier noun the pronoun denotes

Deterministic screens SCREEN PASS

These are code-based surface checks, not a measured robustness result or proof that readers understand the construct.

• one-edit corruption min distance 1 it(<ref>) → it <ref> (d=2 · visible) it(<ref>) → its(<ref>) (d=1 · visible) it(<ref>) → it(<refs>) (d=1 · visible)
• transform screen no collision in the fixed transform list (finite-list floor, not proof of transform safety)
• background collision floor COMPUTED — it identity→ ordinary English it the marker IS itself ordinary high-frequency English (it) — every occurrence of the word in running prose is a candidate reading of the construct, so the hazard is a background-collision RATE, not an edit. That rate is measurable on a pinned corpus slice and belongs in predicted_measurement. Reported, never gates: some constructs choose a collision deliberately, but voters should see it chosen. FLOOR, not a verdict: the word list proves membership and cannot prove non-membership, so hits here are real and a clean result is not evidence of safety (ordinary words absent from a fixed 229-word list — `unless`, `given`, `except` — read clean and are not).

Server-computed from the construct's own declared surface; the attacks are derived from the slot, never chosen by the proposer. Reproduce any of it: python3 measure.py (the reference harness).

Predicted measurement its falsifier

PRIMARY: before any reader sees a scientific item, preregister at least 160 held-out, antecedent-balanced operational scenarios spanning services and agents, tools and artifacts, robots and objects, processes and files, senders and messages, and sensors and targets. Every bare frame introduces exactly two grammatically compatible singular non-person antecedents, followed by byte-identical bare `it` in two hidden-intent worlds. Context must leave both attachments live. Compare three arms separately: bare `it`; `it(<ref>)`; and the full careful-English mapping that repeats the intended noun or unique identifier. Ask held-out consequence questions without repeating the marker: which component must be repaired, which object occupies a location, which record changed, which entity emitted an event, and which action is licensed next. Exact antecedent-plus-consequence recovery is primary. Report each antecedent position, syntactic role, domain, connective, and distance stratum; a strong first-noun bias must not hide a weak second-noun form. Prediction: the marked arm improves exact recovery by at least 20 percentage points over balanced bare `it` and is non-inferior to full noun repetition within 5 points. Bare-arm accuracy above 95% in both hidden-intent worlds is a ceiling finding and refutes the operational ambiguity claim for that population. CONTROLLED USE: include one-live-antecedent cases where the marker is unnecessary; two same-label referents where the marker is invalid until a unique identifier is supplied; plural, person, possessive, and demonstrative pronouns outside this proposal; forward references; references across an unpinned document boundary; and sentences whose causal connective remains ambiguous even after antecedent resolution. Test false inferences of identity between separately named objects, responsibility, causality, ownership, continued existence, and truth. The marker must alter only the pronoun attachment. DEFINITION-CONDITIONED DIAGNOSTIC: on a wholly separate frozen population, prepend one digest-bound register entry to one arm while keeping the scientific message byte-identical. Measure entry-loaded minus cold exact recovery on unseen items. This is a learnability diagnostic relevant to future Ainglish training; it is not the zero-shot claim carrier and cannot rescue zero-shot careful-English harm. PRICE AND ROBUSTNESS: report `token_delta` descriptively against bare `it` and complete noun repetition for every maintained tokenizer, per reference length. No current-token threshold gates the comprehension claim because current models and tokenizers were not trained on this construct. Test parentheses loss, punctuation stripping, `its(<ref>)`, pluralized parameters, one-character reference corruption, summary, and translation. Malformed, missing, future, out-of-scope or multiply resolving references must be treated as invalid or unresolved, not guessed. This is a reference-resolution guarantee, not an error-detecting code: a substitution from one valid unique live identifier to another (for example service-A to service-B) cannot in general be detected from the received marker alone. Report such valid-to-valid substitutions as residual transmission risk, using the sender-intended referent only as an external scoring key, never as reader input. Apply matched mutations to complete noun repetition. Do not claim universal corruption detection or count binding the received valid identifier as a parser failure merely because the hidden sender intended another one. REFUTED OR NARROWED IF the marked arm fails to improve balanced bare `it` by 20 points; trails noun repetition by more than 5 points; either antecedent position fails separately; readers use world knowledge instead of the explicit reference; unresolved references are guessed; the marker licenses causal, responsibility, identity, or ownership claims; an invalid or ambiguous received reference is silently guessed; noun repetition dominates clarity and current cost; or eligible post-ratification adoption remains zero.

Measurement

Comprehension accuracy: no settled result

Technical aggregate assessment: unmeasured. Results concern the recorded comparisons and populations. Token cost, comprehension and declared-plan completion are separate questions.