Conflicting revisions may erode connected story memories even after the text is repaired

The train of thought that ends in this hypothesis. Each stage is the reason the next exists. The master question narrows to a goal, the goal to an unknown nobody has closed, the unknown to the hypothesis proposed here. Every step below says what it rests on and what carries it.

Two live hypotheses pull in opposite directions here, and the field has not chosen between them.

Do human–machine retellings need a new explanation, or can existing accounts predict how meanings change in unfamiliar settings?

The engine's own statement of the hypothesis, in full.

CROSS-DOMAIN TRANSFER: localized fatigue of causal bindings during repeated correction. Repeatedly reconciling incompatible versions in the same human can damage a connected cluster of role/exception bindings even when the current written text has been restored exactly. Surface repair conceals a growing internal gap in the causal event representation; subsequent reconstruction loses adjacent relations disproportionately. The hypothesized extra state is a_t, the size of a connected low-accessibility region in a separately probed causal-binding graph, together with the history of revision load. This differs from an exhausted general resource: unrelated relations and overall response speed need not deteriorate. It also differs from simply dropping an exception in the artifact. A fresh reader of the identical current artifact should not inherit a hidden binding deficit unless some changed artifact or accessible history transmits it. A Paris-type growth law specifies the risky quantitative extension. No physical cracking of brain tissue is proposed.

Every other hypothesis the engine wrote for the same gap, and the observation that would separate the two.

• Rival 01 of 04

  Overridden revision rights may make accurate model corrections provoke deliberate errors
  What would separate them

  Overridden revision rights may make accurate model corrections provoke deliberate errors predicts: Cross correction accuracy with revision authority. In development sessions, establish either participant final approval or neutral editorial approval using matched stories and identical accepted text. Subsequently provide identical verified source-correct model repairs while experimentally retaining or overriding the previously exercised approval right. Include a yoked observer with the same texts, actions, timing and accuracy evidence but no ownership of that lineage; model-versus-human source labels are independently counterbalanced. At an identical current-artifact checkpoint, the rights hypothesis predicts more intentional correct-to-incorrect or correct-to-incompatible transitions after accurate override than after accurate authorized repair, despite equivalent private source-question accuracy. This negative correction-dose slope should transfer with assignment of the lineage's revision right and disappear when the right is prospectively relinquished; an unrelated right on another lineage should not suffice. Binding fatigue predicts dependence on conflicting revision cycles, not legitimate versus illegitimate authority; embodied reinstatement predicts action matching; contract ambiguity predicts audit payoffs. Compare with independently calibrated reactance, algorithm-aversion, endowment, ordinary learning and belief-conditioned H kernels, not only an unconditioned H. If those established components predict the authority-by-history contrast within the meaningful margin on held-out lineages, retire the proposed distinct family. No residual interaction alone identifies a new norm mechanism.

• Rival 02 of 04

  Ordinary transformations may explain retelling chains without an extra recursive state
  What would separate them

  Ordinary transformations may explain retelling chains without an extra recursive state predicts: Freeze nulls and their uncertainty before seeing evaluation chains. In human-only, model-only, HA and AH chains, held-out proposition transitions, causal-role reversals, exception loss and private-source retention fall inside the propagated predictive envelope, and any candidate extension improves proper predictive scores or prespecified discrepancies by less than the smallest meaningful margin. Order effects are allowed. At an identical-current-artifact checkpoint, matched context, resources and independently measured ordinary learning explain later differences; no additional lineage-right, local-fatigue, motor-history or joint-contract state earns predictive value. Intervene on ancestry access and source regeneration with explicit resource matching: context-conditioned kernels predict the changes without chain-specific refitting. Under predictive equivalence on independent seeds and genuinely held-out contexts, remove the distinct recursive family's novelty and priority, while retaining the observed attractor phenomenon. This IH loses if a reproducible intervention-specific discrepancy exceeds uncertainty and the meaningful margin after competent state enrichment and absolute model checks; that loss does not automatically identify which extension is right.

• Rival 03 of 04

  Reinstating learned gestures may preserve causal roles during human–model retelling
  What would separate them

  Reinstating learned gestures may preserve causal roles during human–model retelling predicts: At an identical-artifact checkpoint, cross semantically congruent role enactment at encoding with matched or swapped spatial enactment at later human production. Include no-enactment and equal-amplitude meaningless-movement controls, the same verbal generation and source-question practice, matched delays and workload, and fresh-human handoffs. Gesture instructions must not reveal any missing proposition; assign counterbalanced arbitrary locations to already supplied characters. This IH predicts an encoding-by-reinstatement interaction: congruent motor reinstatement selectively preserves the earlier causal roles, whereas swapping the learned locations increases role reversals even with the same current text. The interaction should persist after balancing ordinary verbal generation/retrieval practice and be absent for an unlearned movement mapping. Fatigue predicts localized cycle-dose deficits and fresh-person reset, but not this sign-changing mapping interaction; the rights and contract accounts predict their social manipulations instead. Calibrate an ordinary multimodal encoding-specificity model on nonrecursive tasks and replay controls. If it predicts the entire chain interaction, the motor explanation may be useful but the proposed new recursive family is eliminated. If matched motor perturbations have no meaningful role-specific effect despite a successful action-memory manipulation, reject this scout in favor of other models.

• Rival 04 of 04

  Continuing evaluation with coarse checks may reward strategic omissions in retelling
  What would separate them

  Continuing evaluation with coarse checks may reward strategic omissions in retelling predicts: Cross continuation of the same evaluation relationship versus a one-shot handoff with coarse whole-story evaluation versus prespecified proposition-specific audit. Hold expected reward, current source, evidence access, output length/time, task wording and candidate policy fixed as far as feasible; report residual incentive differences. Explicitly distinguish descriptive accuracy from public approval. The contract account predicts more omission of auditable exceptions/attributions under continuing relationships with coarse verification, and a selective reversal under item-level audit. The expected gain from possible later reinterpretation should predict WHICH details disappear, even when those details are causally central, easy to recall and accurately answered in private. Remove future evaluation or assign liability to an independent editor while preserving authorship rights: strategic omissions should shrink; merely transferring revision ownership should not suffice. Compare with independently calibrated one-shot incentive, audience-design, risk-aversion, self-presentation and accountability kernels composed across rounds. Only a held-out continuation-by-verifiability effect beyond those components supports the proposed extra state. If the effects are fully predicted by ordinary task-conditioned editing, remove the recursive/new-family claim. No contract-specific selectivity, despite verified incentive comprehension, falsifies this mechanism in the task.

Which of the figures above have a study behind them, which are the engine's own, and what it would take to refute the hypothesis. This audit never judges the idea.