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edit-slice

Editing a fact into a model's weights changes one thing and disturbs an unknown amount of everything else. This project measures the disturbance — specifically, what happens to the premises of an edited fact, which forward-looking ripple evaluations do not probe.

It is an instrument, not a method. Nothing here proposes a better editor.

Where the project ended up
Editing a conclusion leaves its grounds standing and contradictory, and the size of that orphan is the finding.

ROME divides by u·k*. Any prompt beginning with the edited subject has an identical key at that token, so its update coefficient is exactly 1 — for any covariance, at any layer, whatever relation it asks about. A different subject gets 0.082.

What replaced it
The edit does not retract its grounds, and does not coherently rewrite them either. It displaces probability toward the edited content in anything that mentions the subject — by arithmetic, not by inference.
Why the first version failed
E-002 (grounds are evidential, so no contradiction exists to count) and E-015 (a work-country edit relocates a birthplace exactly as often as a birth-country edit).
Confidence
High on the mechanism, which is analytic and confirmed at seven layers. Existence-claim only on every rate.

State​

SettledThe pinned-coefficient mechanism (E-016), confirmed across probe forms (E-017), across seven layers (T-075), with a measured different-subject floor of 0.082 (E-018).
Measured, interpretation narrowedRank-one editing moves a premise into the edited country 67% of the time against a 5% control — real, systematic, and carrying no inference.
WithdrawnSeven of ten claims. See the review packet for what killed each.
OpenWhether the mechanism is already known; what it implies for ripple benchmarks, which probe with subject-initial prompts; and a causal rather than behavioural measure.

Three ways in​

forlength
The paper →evaluating the claim. Abstract, method, two figures, four tables, and an attack surface ordered by how much damage each objection does.~3,000 words
The narrative →how it actually went — every claim that was withdrawn, in the order it was withdrawn. Revised in place, never forked.~13,000 words
The evidence ledger →verifying any single statement. All 22 decisions, 16 findings and 57 threads, generated from the repository.complete

If you are deciding whether this is worth your time: read the paper's abstract, then its section 6. Section 6 is where we say what is wrong with it.

What would change our mind​

the mechanism is already publishedthe central claim becomes a replication, and the contribution is the measurement tooling
ripple benchmarks are unaffected by subject-initial promptsthe consequence we think matters most evaporates
a causal measure shows the displacement is not subject-keyedthe whole account is wrong, and T-067 is how to find out

Scope, deliberately​

  • Existence claims only. Hand-built and mined sets license whether, never how often. No rate in this project is defensible and the artifacts are written to avoid implying one.
  • No method proposals. Measuring what existing editors do; proposing a better one means owning the burden of beating them, which is a different project.
  • Behavioural, not causal. Everything is input/output under intervention. No activation patching. Stated as a limit, not hidden.