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Cliste experiment
Remembered continuation from partial visual perception
Registered 9 Oct 2026 · Snapshot 12 Oct 2026
The question
Connect partial VSA recall to retained temporal context and actual working continuation across new experience, growing memory and restart; compare baseline and support-scaled acceptance with visible errors.
Why this experiment?
A partial cue can resemble the wrong memory. Recall needs to recover useful content while recognizing when the evidence is insufficient.
How it works
Compare partial-cue recall with familiar and unfamiliar inputs, retaining incorrect accepts and refusals. Cleanup and confidence rules are qualified before relying on them for a remembered continuation.
Follow this part of the investigation: More answers are useful only if the extra confidence is justified →Implementation and comparison details
Recovery of interrupted run001. Completed before/middle, ordinary acquisition and integrated continuity are inherited byte for byte. Only the incomplete after panel and remaining controls are executed, then all six panels are independently audited under the original criteria. Inputs are already exposed.
What happened
Completed recovery of the interrupted comparison: 32 newly admitted photographs yield 25/128 baseline versus 60/128 support-scaled correct partial-cue paths, each requiring the intended anchor and both successors (+27.34 percentage points; source-bootstrap 95% interval 19.53–35.16). Full local fields give 48/64 under both policies. Six numerical/causal panels and the integrated hold/save/new-intake/resume proof pass. Earlier-photo recall loses successes as competition grows; video partial paths are 1/32 versus 4/32. All final novel fields reject, but earlier full-field false accepts remain. Bounded 1.6 is demonstrated; quality is provisional.
Measurements
| Recorded field | Value |
|---|---|
| primary | {
"correct": {
"mean": 0.2734375,
"ci95": [
0.1953125,
0.3515625
],
"sources": 32,
"samples": 10000,
"seed": 1606
},
"correct_two": {
"mean": 0.2734375,
"ci95": [
0.1953125,
0.3515625
],
"sources": 32,
"samples": 10000,
"seed": 1606
},
"wrong": {
"mean": 0,
"ci95": [
0,
0
],
"sources": 32,
"samples": 10000,
"seed": 1606
},
"missed": {
"mean": -0.2734375,
"ci95": [
-0.3515625,
-0.1953125
],
"sources": 32,
"samples": 10000,
"seed": 1606
}
} |
| matched changes | {
"added_correct": 35,
"lost_correct": 0,
"added_wrong": 0,
"lost_wrong": 0
} |
| never admitted | {
"baseline": {
"fields": 128,
"sources": 32,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 128,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 128,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 128
}
},
"support_scaled": {
"fields": 128,
"sources": 32,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 128,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 128,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 128
}
},
"paired_wrong_difference": {
"mean": 0,
"ci95": [
0,
0
],
"sources": 32,
"samples": 10000,
"seed": 1606
}
} |
| strata | [
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 12,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 8
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 12,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 3,
"anchor_wrong": 0,
"anchor_abstained": 5,
"correct": 3,
"correct_two": 3,
"wrong": 0,
"missed": 5,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 3,
"cue_rejected": 5
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 24,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 3,
"anchor_wrong": 0,
"anchor_abstained": 5,
"correct": 3,
"correct_two": 3,
"wrong": 0,
"missed": 5,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 3,
"cue_rejected": 5
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 24,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 4,
"anchor_wrong": 0,
"anchor_abstained": 4,
"correct": 4,
"correct_two": 4,
"wrong": 0,
"missed": 4,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 4,
"cue_rejected": 4
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 64,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 6,
"anchor_wrong": 0,
"anchor_abstained": 2,
"correct": 6,
"correct_two": 6,
"wrong": 0,
"missed": 2,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 6,
"cue_rejected": 2
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "central",
"support": 64,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 6,
"anchor_wrong": 0,
"anchor_abstained": 2,
"correct": 6,
"correct_two": 6,
"wrong": 0,
"missed": 2,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 6,
"cue_rejected": 2
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 12,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 8
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 12,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 1,
"anchor_wrong": 0,
"anchor_abstained": 7,
"correct": 1,
"correct_two": 1,
"wrong": 0,
"missed": 7,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 7,
"completed": 1
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 24,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 1,
"anchor_wrong": 0,
"anchor_abstained": 7,
"correct": 1,
"correct_two": 1,
"wrong": 0,
"missed": 7,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 7,
"completed": 1
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 24,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 2,
"anchor_wrong": 0,
"anchor_abstained": 6,
"correct": 2,
"correct_two": 2,
"wrong": 0,
"missed": 6,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 2,
"cue_rejected": 6
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 64,
"arm": "baseline",
"fields": 8,
"sources": 8,
"anchor_correct": 4,
"anchor_wrong": 0,
"anchor_abstained": 4,
"correct": 4,
"correct_two": 4,
"wrong": 0,
"missed": 4,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 4,
"cue_rejected": 4
}
},
{
"stage": "after",
"cohort": "earlier",
"present": true,
"location": "hash_distinct",
"support": 64,
"arm": "support_scaled",
"fields": 8,
"sources": 8,
"anchor_correct": 4,
"anchor_wrong": 0,
"anchor_abstained": 4,
"correct": 4,
"correct_two": 4,
"wrong": 0,
"missed": 4,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 4,
"cue_rejected": 4
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 12,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 16,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 16,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 16
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 12,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 6,
"anchor_wrong": 0,
"anchor_abstained": 10,
"correct": 6,
"correct_two": 6,
"wrong": 0,
"missed": 10,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 6,
"cue_rejected": 10
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 24,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 5,
"anchor_wrong": 0,
"anchor_abstained": 11,
"correct": 5,
"correct_two": 5,
"wrong": 0,
"missed": 11,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 5,
"cue_rejected": 11
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 24,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 8,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 8,
"correct_two": 8,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 8,
"cue_rejected": 8
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 64,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 14,
"anchor_wrong": 0,
"anchor_abstained": 2,
"correct": 14,
"correct_two": 14,
"wrong": 0,
"missed": 2,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 14,
"cue_rejected": 2
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "central",
"support": 64,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 14,
"anchor_wrong": 0,
"anchor_abstained": 2,
"correct": 14,
"correct_two": 14,
"wrong": 0,
"missed": 2,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 14,
"cue_rejected": 2
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "hash_distinct",
"support": 12,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 0,
"anchor_wrong": 0,
"anchor_abstained": 16,
"correct": 0,
"correct_two": 0,
"wrong": 0,
"missed": 16,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 16
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "hash_distinct",
"support": 12,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 6,
"anchor_wrong": 0,
"anchor_abstained": 10,
"correct": 6,
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"wrong": 0,
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"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 6,
"cue_rejected": 10
}
},
{
"stage": "after",
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"present": true,
"location": "hash_distinct",
"support": 24,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 6,
"anchor_wrong": 0,
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"correct": 6,
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"wrong": 0,
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"stop_reasons": {
"completed": 6,
"cue_rejected": 10
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "hash_distinct",
"support": 24,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 8,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 8,
"correct_two": 8,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 8,
"cue_rejected": 8
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "hash_distinct",
"support": 64,
"arm": "baseline",
"fields": 16,
"sources": 16,
"anchor_correct": 8,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 8,
"correct_two": 8,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 8,
"cue_rejected": 8
}
},
{
"stage": "after",
"cohort": "first",
"present": true,
"location": "hash_distinct",
"support": 64,
"arm": "support_scaled",
"fields": 16,
"sources": 16,
"anchor_correct": 8,
"anchor_wrong": 0,
"anchor_abstained": 8,
"correct": 8,
"correct_two": 8,
"wrong": 0,
"missed": 8,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 8,
"cue_rejected": 8
}
},
{
"_indexOmission": "144 further items"
}
] |
| usability floor | [
{
"stage": "middle",
"arm": "baseline",
"support": "partial",
"fields": 64,
"sources": 16,
"anchor_correct": 11,
"anchor_wrong": 0,
"anchor_abstained": 53,
"correct": 11,
"correct_two": 11,
"wrong": 0,
"missed": 53,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 53,
"completed": 11
},
"wrong_dominates": false
},
{
"stage": "middle",
"arm": "baseline",
"support": "full",
"fields": 32,
"sources": 16,
"anchor_correct": 22,
"anchor_wrong": 0,
"anchor_abstained": 10,
"correct": 22,
"correct_two": 22,
"wrong": 0,
"missed": 10,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 22,
"cue_rejected": 10
},
"wrong_dominates": false
},
{
"stage": "middle",
"arm": "support_scaled",
"support": "partial",
"fields": 64,
"sources": 16,
"anchor_correct": 28,
"anchor_wrong": 0,
"anchor_abstained": 36,
"correct": 28,
"correct_two": 28,
"wrong": 0,
"missed": 36,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 28,
"cue_rejected": 36
},
"wrong_dominates": false
},
{
"stage": "middle",
"arm": "support_scaled",
"support": "full",
"fields": 32,
"sources": 16,
"anchor_correct": 22,
"anchor_wrong": 0,
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"correct": 22,
"correct_two": 22,
"wrong": 0,
"missed": 10,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 22,
"cue_rejected": 10
},
"wrong_dominates": false
},
{
"stage": "after",
"arm": "baseline",
"support": "partial",
"fields": 128,
"sources": 32,
"anchor_correct": 25,
"anchor_wrong": 0,
"anchor_abstained": 103,
"correct": 25,
"correct_two": 25,
"wrong": 0,
"missed": 103,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 103,
"completed": 25
},
"wrong_dominates": false
},
{
"stage": "after",
"arm": "baseline",
"support": "full",
"fields": 64,
"sources": 32,
"anchor_correct": 48,
"anchor_wrong": 0,
"anchor_abstained": 16,
"correct": 48,
"correct_two": 48,
"wrong": 0,
"missed": 16,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 48,
"cue_rejected": 16
},
"wrong_dominates": false
},
{
"stage": "after",
"arm": "support_scaled",
"support": "partial",
"fields": 128,
"sources": 32,
"anchor_correct": 60,
"anchor_wrong": 0,
"anchor_abstained": 68,
"correct": 60,
"correct_two": 60,
"wrong": 0,
"missed": 68,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 60,
"cue_rejected": 68
},
"wrong_dominates": false
},
{
"stage": "after",
"arm": "support_scaled",
"support": "full",
"fields": 64,
"sources": 32,
"anchor_correct": 48,
"anchor_wrong": 0,
"anchor_abstained": 16,
"correct": 48,
"correct_two": 48,
"wrong": 0,
"missed": 16,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 48,
"cue_rejected": 16
},
"wrong_dominates": false
}
] |
| per source | [
{
"stage": "after",
"source_key": "earlier:0",
"arm": "baseline",
"support": "full",
"fields": 2,
"sources": 1,
"anchor_correct": 2,
"anchor_wrong": 0,
"anchor_abstained": 0,
"correct": 2,
"correct_two": 2,
"wrong": 0,
"missed": 0,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 2
}
},
{
"stage": "after",
"source_key": "earlier:0",
"arm": "baseline",
"support": "partial",
"fields": 4,
"sources": 1,
"anchor_correct": 1,
"anchor_wrong": 0,
"anchor_abstained": 3,
"correct": 1,
"correct_two": 1,
"wrong": 0,
"missed": 3,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"cue_rejected": 3,
"completed": 1
}
},
{
"stage": "after",
"source_key": "earlier:0",
"arm": "support_scaled",
"support": "full",
"fields": 2,
"sources": 1,
"anchor_correct": 2,
"anchor_wrong": 0,
"anchor_abstained": 0,
"correct": 2,
"correct_two": 2,
"wrong": 0,
"missed": 0,
"endpoint_only": 0,
"temporal_wrong_after_correct_anchor": 0,
"stopped_after_correct_anchor": 0,
"sources_with_wrong": 0,
"stop_reasons": {
"completed": 2
}
},
{
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] |
| recovery | [
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},
{
"_indexOmission": "146 further items"
}
] |
| bootstrap | {
"samples": 10000,
"seed": 1606,
"unit": "photographic source; all matched fields remain together"
} |
| video source videos | 2 |
| limitations | Finite acquired content, supplied masks and replay direction; video frames remain correlated and restart/control rows are excluded from independent-sample counts. |
| integration evidence | {
"context_intervention_exercised": true,
"context_intervention_followed": true,
"earlier_retention_observed": true,
"restart_exact": true,
"intake_between_replay_steps": true
} |
Recorded checks
| Recorded field | Value |
|---|---|
| before audit | Pass |
| before registered count | Pass |
| middle audit | Pass |
| middle registered count | Pass |
| after audit | Pass |
| after registered count | Pass |
| restart audit | Pass |
| restart registered count | Pass |
| permuted audit | Pass |
| permuted registered count | Pass |
| context swap audit | Pass |
| context swap registered count | Pass |
| restart operative equivalence | Pass |
| permuted operative equivalence | Pass |
Results and visual artifacts
Open a figure for its input, comparison, and result. Click an image to enlarge it.
A cue is an 80 × 80 region taken from a photograph. Gray pixels are hidden; the visible region supplies 12, 24, or all 64 local feature positions. The baseline rule uses fixed similarity thresholds; the support-scaled rule adjusts the scores for how much is visible. After recalling an image, Cliste follows stored temporal context for two more encounters. These are memories of presentation order, not predictions of events in the pictured world.
More partial cues recover the complete remembered sequence

Replotted from saved outputs with clarified labels. The original recorded figure remains available.
A successful recall and a cue that remains ambiguous

Replotted from saved outputs with clarified labels. The original recorded figure remains available.
More visible detail helps one region, but not another

Replotted from saved outputs with clarified labels. The original recorded figure remains available.
The original image sequences behind those examples

Replotted from saved outputs with clarified labels. The original recorded figure remains available.
An unfamiliar image triggers a wrong remembered sequence

Replotted from saved outputs with clarified labels. The original recorded figure remains available.
Limits and next question
Supplied 80×80 local visibility and two-step control, one continuing life; the full-field condition is not the full photograph. Recovery reuses exposed inputs. Earlier recall regressions, earlier novel-source false accepts, and weak correlated video remain visible. Remembered order is not prediction or learned attention. Prior confidence criterion remains failed; baseline default unchanged; full 1.3 and final sealed panel remain open.
Next question. The completed optimization review proposes one profiler-confirmed bounded transient region/norm-cache comparison, with exact behavior guards and explicit RAM/VRAM tradeoff; then return to useful acquired cleanup, vocabulary growth and changed-view transfer. No optimization experiment has been run.
Inspect the evidence
Download the methods and measurements for this experiment. Large training and saved-state files are not included.
- Registration ↓
- Methods ↓
- Configuration ↓
- Execution ↓
- Results ↓
- Result narrative ↓
- Completion receipt ↓
- Independent audit ↓
- Gallery record ↓
- Frozen_sha256 ↓
- Dependency manifest ↓
- Input manifest ↓
- Cue manifest ↓
- Base manifest ↓
- Preflight ↓
- Environment ↓
- Growth ↓
- Admission/receipt ↓
- Observer times ↓
- Validation ↓
- Recovery methods and exposure ↓
- Execution started ↓
- Isolation ↓
- Integrated continuity ↓
- Statistics ↓
- Resources ↓
- Outputs ↓
- Progress ↓
- Recovery provenance and inherited hashes ↓
- Verified separate 127-encounter descendant ↓