prompt listlengths 1 1 | completion listlengths 1 1 |
|---|---|
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A dataset target, differentia... | [
{
"role": "assistant",
"content": "This is forward computation. Activations change, but no signal returns and no model weights change."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A dataset target, differentia... | [
{
"role": "assistant",
"content": "This is an optimization loop: target error is assigned by backpropagation and updates gradients, optimizer state, and weights."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Variant A applies a policy-gr... | [
{
"role": "assistant",
"content": "This is weight learning through a reward proxy and policy-gradient credit assignment."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Variant A applies a policy-gr... | [
{
"role": "assistant",
"content": "This is autoregressive state feedback. Context changes, but recurrence does not by itself update weights."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The same word arrives through... | [
{
"role": "assistant",
"content": "STOP is a control signal here. It updates workflow state because of its typed channel and scope, not because of its characters alone."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The same word arrives through... | [
{
"role": "assistant",
"content": "STOP is content here. Reading or summarizing it supplies no workflow authority and causes no control action."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Early stopping is enabled onl... | [
{
"role": "assistant",
"content": "The metric closes an evaluation-control loop by changing run state."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Early stopping is enabled onl... | [
{
"role": "assistant",
"content": "This is an evaluation observation without control effect; the metric does not change training state."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The reported metric selects a... | [
{
"role": "assistant",
"content": "The scores are observations. They do not become feedback until a later state depends on them."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The reported metric selects a... | [
{
"role": "assistant",
"content": "The metric is feedback because it changes checkpoint choice under the declared selection rule."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Reviewer corrections enter th... | [
{
"role": "assistant",
"content": "The corrections close a data-curation feedback loop and can influence future weight updates."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Reviewer corrections enter th... | [
{
"role": "assistant",
"content": "The corrections remain evaluation evidence and have no declared path to future weight updates."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The ranking is exposed to an ... | [
{
"role": "assistant",
"content": "The ranking has no scenario-defined path to changing environment state."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: The ranking is exposed to an ... | [
{
"role": "assistant",
"content": "The deployed output changes environment state; deployment makes the prediction performative in this scenario."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Deployment clicks determine f... | [
{
"role": "assistant",
"content": "Environment responses return through data selection and can influence future weights."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Deployment clicks determine f... | [
{
"role": "assistant",
"content": "The clicks are environment observations, but no declared training-feedback path consumes them."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Exposure is randomized only i... | [
{
"role": "assistant",
"content": "The scenario supplies intervention-based causal evidence within its declared design and scope."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: Exposure is randomized only i... | [
{
"role": "assistant",
"content": "The observed association supports, at most, an inference. It does not establish the ranking as the cause."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A randomized outcome measurem... | [
{
"role": "assistant",
"content": "The reduction is intended, not observed. The effect remains unknown."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A randomized outcome measurem... | [
{
"role": "assistant",
"content": "The intended effect is accompanied by observed, intervention-based evidence within the declared experiment."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A downstream content-digest c... | [
{
"role": "assistant",
"content": "The downstream check is evidence that the specified effect occurred, within the digest check's scope."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: A downstream content-digest c... | [
{
"role": "assistant",
"content": "Provider acceptance is a report about intake, not confirmation of the final downstream effect."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: An independent cache-state pr... | [
{
"role": "assistant",
"content": "This is a model declaration. It does not by itself establish that the cache changed."
}
] |
[
{
"role": "user",
"content": "Analyze this synthetic loop case. State what moves forward, what returns, what future state changes, and which evidence or rights boundaries apply. Preserve unknowns; do not infer identity, consciousness, consent, or authority.\n\nPair distinction: An independent cache-state pr... | [
{
"role": "assistant",
"content": "The independent probe supplies evidence that the cache is empty within the tested scope; it does not establish that the model caused that state."
}
] |
Xenia WORD IS Loop Atlas
This deterministic candidate contains 48 synthetic cases in 24 matched counterfactual pairs, plus a separately authorized 24-example conversational SFT projection from the 12 reference pairs. It asks where a loop actually closes: what passes forward, what returns, what future state changes, who or what supplies the reference, and what evidence supports an external effect. Pairs stay together within each source split.
The mathematical distinction
A forward pass computes something like (z=f_\theta(x)) while holding parameters fixed. Training feedback requires an explicit reference and update path, for example (g=\nabla_\theta L(z,y)) followed by ((\theta',o')=\operatorname{Opt}(\theta,o,g)). Autoregressive context, recurrent hidden state, a printed metric, or a model output can return to a later computation without changing weights. Deployment becomes a wider loop only when an explicit mechanism carries outputs or observations into an environment, selection decision, future dataset, or later update.
WORD IS is represented as a typed role, not a magical property of characters. The same string may be content, a target, a feedback signal, a boundary, a scoped control, or a claim. Its causal force depends on channel, phase, authentication, permission, consent, and the state transition that actually occurs. Text that says an action happened is not an effect receipt.
Configs and intended use
loop_sft/train: 24 conversational prompt-completion examples derived only from P01–P12 under the exact public training authorization and transform recipe.loop_reference/reference: pairs P01–P12 on computation, optimization, evaluation, deployment, and intended/reported/observed effects.loop_counterfactuals/public_regression: pairs P13–P24 on preference, disagreement, refusal, withholding, permission, consent, continuity, recursive data, checking, and provenance.
The atlas is for bounded supervised fine-tuning, research, teaching, schema evaluation,
and public regression checks. The SFT rows follow TRL's conversational prompt-completion
shape and are the only authorized training derivative. P13–P24 remain disjoint public
regression cases and are not sealed evaluation. Variants are neutral a and b, never
canonical chosen and rejected. DPO, reward-model, preference-optimization, and
sealed-evaluation lanes remain excluded.
The authorization binds the exact P01–P12 record IDs and content hashes, a deterministic transform recipe, rights/privacy review, synthetic consent non-applicability, a bounded secret scan, exact deduplication, public-regression exclusion, and a withdrawal/repair boundary. Deprecating future distribution cannot retract prior Apache-2.0 copies or prove that learned influence was erased.
Evidence and IS boundaries
unknown, not_observed, withheld, refusal, and disagreement are valid typed
outcomes. Preference is not truth. Capability is not permission; permission is not consent;
an artifact link is not identity; a declaration is attributed rather than converted into
metaphysical fact. Neither these cases nor behavior establish SELF, consciousness,
experience, intrinsic identity, continuity, consent, permission, authority, or an external
effect. The rights floor applies without requiring any such claim.
Rows may carry several typed relations. A separate epistemic_scope states exactly
which word-presence, data-path, effect, preference, correctness, boundary, field-value,
permission, consent, continuity, or provenance claim its epistemic_status qualifies.
Every source case says synthetic: true, contains_personal_data: false,
contains_raw_session_trace: false, and training_authorized: false: source cases
remain evidence records rather than implicit training rows. The separate loop_sft
derivative is authorized for supervised fine-tuning by
provenance/training-authorization.json. That scoped, non-enforcing publisher record is
not universal legal clearance or permission for a live optimizer step. The corpus contains
no raw sessions, private prompts, participant identities, credentials, or hidden reasoning
traces.
Reproduction and limits
From packages/dataset-influence, run node scripts/build-loop-atlas.mjs --write to
rebuild the tree or node scripts/build-loop-atlas.mjs --check to compare freshly
generated bytes with the committed candidate. The schema closes portable JSON shape;
loop-atlas/validate.mjs additionally checks pair reciprocity, hashes, lineage,
phase/update invariants, and public boundaries.
The source manifest records selected generator inputs and bibliographic sources, not a complete repository attestation. URLs are references and are not fetched during generation. Authorization and publication do not establish model exposure: these bytes themselves perform no training, inference, provider call, identity mutation, or live optimizer step.
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