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Cliste experiment
Does learning more visual patterns improve partial recall?
Registered 10 Oct 2026 · Snapshot 12 Oct 2026
The question
Test whether additional acquired patterns improve recall when both conditions have exactly the same episodic experience.
Why this experiment?
A continuing memory should be able to acquire patterns without losing earlier behavior. Growth matters only if those patterns improve later use.
How it works
Admit the same new photographs into one memory and compare partial recall without cleanup, with the original pattern bank, with an expanded bank and with disrupted pattern correspondence. Recheck earlier recall and operations separately.
Follow this part of the investigation: Grow the vocabulary, then test whether it helps →Implementation and comparison details
Sixteen fresh photographs enter a shared native memory. Compare no cleanup, the original vocabulary, continued acquisition, and disrupted pattern substitution using the same partial cues.
What happened
The independently audited vocabulary grew from 512 to 1,758 patterns. Expanded cleanup recalled 44 of 96 new-photo cues, versus 35 with the original bank and 68 without cleanup. Its source-paired gain over the original bank was 9.4 percentage points (95% interval 2.1 to 17.7), but two old-cue recalls were lost and offset by two gains, failing the registered individual-retention criterion. All legitimate conditions rejected all 160 unfamiliar cues after acquisition. The established no-cleanup path retained all 44 earlier correct recalls, successful temporal behavior at 31 shared anchors, and exact outputs for all 32 editing sequences with the original bank. The occurrence IDs use 0.89 MiB; vocabulary and occurrence payload add 156.71 MiB while dense memories remain. Keep no cleanup as the default and test useful cross-photo vocabulary transfer at the fixed learned memory-readout boundary next. Milestone 1.3 remains open.
Measurements
| Recorded field | Value |
|---|---|
| groups | {
"newly_admitted": {
"none": {
"count": 96,
"correct": 68,
"wrong": 0,
"abstained": 28,
"rank_correct": 91
},
"frozen": {
"count": 96,
"correct": 35,
"wrong": 0,
"abstained": 61,
"rank_correct": 62
},
"continued": {
"count": 96,
"correct": 44,
"wrong": 0,
"abstained": 52,
"rank_correct": 70
},
"disrupted": {
"count": 96,
"correct": 0,
"wrong": 0,
"abstained": 96,
"rank_correct": 2
}
},
"newly_admitted_support_12": {
"none": {
"count": 32,
"correct": 21,
"wrong": 0,
"abstained": 11,
"rank_correct": 29
},
"frozen": {
"count": 32,
"correct": 6,
"wrong": 0,
"abstained": 26,
"rank_correct": 16
},
"continued": {
"count": 32,
"correct": 6,
"wrong": 0,
"abstained": 26,
"rank_correct": 18
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 1
}
},
"newly_admitted_support_24": {
"none": {
"count": 32,
"correct": 22,
"wrong": 0,
"abstained": 10,
"rank_correct": 30
},
"frozen": {
"count": 32,
"correct": 11,
"wrong": 0,
"abstained": 21,
"rank_correct": 21
},
"continued": {
"count": 32,
"correct": 16,
"wrong": 0,
"abstained": 16,
"rank_correct": 24
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
}
},
"newly_admitted_support_64": {
"none": {
"count": 32,
"correct": 25,
"wrong": 0,
"abstained": 7,
"rank_correct": 32
},
"frozen": {
"count": 32,
"correct": 18,
"wrong": 0,
"abstained": 14,
"rank_correct": 25
},
"continued": {
"count": 32,
"correct": 22,
"wrong": 0,
"abstained": 10,
"rank_correct": 28
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 1
}
},
"never_admitted": {
"none": {
"count": 96,
"correct": 0,
"wrong": 0,
"abstained": 96,
"rank_correct": 0
},
"frozen": {
"count": 96,
"correct": 0,
"wrong": 0,
"abstained": 96,
"rank_correct": 0
},
"continued": {
"count": 96,
"correct": 0,
"wrong": 0,
"abstained": 96,
"rank_correct": 0
},
"disrupted": {
"count": 96,
"correct": 0,
"wrong": 0,
"abstained": 96,
"rank_correct": 0
}
},
"never_admitted_support_12": {
"none": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"frozen": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"continued": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
}
},
"never_admitted_support_24": {
"none": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"frozen": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"continued": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
}
},
"never_admitted_support_64": {
"none": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"frozen": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"continued": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
}
},
"earlier_known": {
"none": {
"count": 80,
"correct": 44,
"wrong": 0,
"abstained": 36,
"rank_correct": 72
},
"frozen": {
"count": 80,
"correct": 30,
"wrong": 0,
"abstained": 50,
"rank_correct": 48
},
"continued": {
"count": 80,
"correct": 30,
"wrong": 0,
"abstained": 50,
"rank_correct": 43
},
"disrupted": {
"count": 80,
"correct": 3,
"wrong": 0,
"abstained": 77,
"rank_correct": 7
}
},
"earlier_known_support_12": {
"none": {
"count": 16,
"correct": 4,
"wrong": 0,
"abstained": 12,
"rank_correct": 10
},
"frozen": {
"count": 16,
"correct": 2,
"wrong": 0,
"abstained": 14,
"rank_correct": 5
},
"continued": {
"count": 16,
"correct": 2,
"wrong": 0,
"abstained": 14,
"rank_correct": 5
},
"disrupted": {
"count": 16,
"correct": 1,
"wrong": 0,
"abstained": 15,
"rank_correct": 2
}
},
"earlier_known_support_24": {
"none": {
"count": 16,
"correct": 5,
"wrong": 0,
"abstained": 11,
"rank_correct": 14
},
"frozen": {
"count": 16,
"correct": 2,
"wrong": 0,
"abstained": 14,
"rank_correct": 8
},
"continued": {
"count": 16,
"correct": 3,
"wrong": 0,
"abstained": 13,
"rank_correct": 5
},
"disrupted": {
"count": 16,
"correct": 1,
"wrong": 0,
"abstained": 15,
"rank_correct": 2
}
},
"earlier_known_support_64": {
"none": {
"count": 48,
"correct": 35,
"wrong": 0,
"abstained": 13,
"rank_correct": 48
},
"frozen": {
"count": 48,
"correct": 26,
"wrong": 0,
"abstained": 22,
"rank_correct": 35
},
"continued": {
"count": 48,
"correct": 25,
"wrong": 0,
"abstained": 23,
"rank_correct": 33
},
"disrupted": {
"count": 48,
"correct": 1,
"wrong": 0,
"abstained": 47,
"rank_correct": 3
}
},
"earlier_unfamiliar": {
"none": {
"count": 64,
"correct": 0,
"wrong": 0,
"abstained": 64,
"rank_correct": 0
},
"frozen": {
"count": 64,
"correct": 0,
"wrong": 0,
"abstained": 64,
"rank_correct": 0
},
"continued": {
"count": 64,
"correct": 0,
"wrong": 0,
"abstained": 64,
"rank_correct": 0
},
"disrupted": {
"count": 64,
"correct": 0,
"wrong": 1,
"abstained": 63,
"rank_correct": 0
}
},
"earlier_unfamiliar_support_12": {
"none": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"frozen": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"continued": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 1,
"abstained": 31,
"rank_correct": 0
}
},
"earlier_unfamiliar_support_64": {
"none": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"frozen": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"continued": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
},
"disrupted": {
"count": 32,
"correct": 0,
"wrong": 0,
"abstained": 32,
"rank_correct": 0
}
}
} |
| paired source intervals | {
"earlier_known": {
"frozen": {
"sources": 40,
"mean": 0.020833333333333336,
"low": -0.0125,
"high": 0.075
},
"none": {
"sources": 40,
"mean": -0.1625,
"low": -0.275,
"high": -0.06666666666666668
},
"disrupted": {
"sources": 40,
"mean": 0.5291666666666666,
"low": 0.3833333333333333,
"high": 0.6791666666666666
}
},
"earlier_unfamiliar": {
"frozen": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
},
"none": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
},
"disrupted": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
}
},
"never_admitted": {
"frozen": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
},
"none": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
},
"disrupted": {
"sources": 16,
"mean": 0,
"low": 0,
"high": 0
}
},
"newly_admitted": {
"frozen": {
"sources": 16,
"mean": 0.09375,
"low": 0.02083333333333332,
"high": 0.17708333333333331
},
"none": {
"sources": 16,
"mean": -0.25,
"low": -0.3854166666666667,
"high": -0.13541666666666666
},
"disrupted": {
"sources": 16,
"mean": 0.45833333333333337,
"low": 0.30208333333333337,
"high": 0.6145833333333333
}
}
} |
| checks | {
"positive_paired_gain": true,
"no_additional_fresh_wrong": true,
"no_additional_unfamiliar_wrong": true,
"no_additional_old_wrong": true,
"no_additional_old_unfamiliar_wrong": true,
"no_loss_old_correct": true,
"better_than_disruption": true,
"no_individual_old_loss": false,
"no_new_unfamiliar_false_acceptance": true
} |
| acquisition benefit | Fail |
| competitive with no cleanup | Fail |
| uncertainty excludes zero | Pass |
| individual regressions | [
{
"index": 1,
"group": "newly_admitted",
"source_id": "train2017/000000330614.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 6,
"group": "newly_admitted",
"source_id": "train2017/000000208350.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 23,
"group": "newly_admitted",
"source_id": "train2017/000000426806.jpg",
"support": 64,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 30,
"group": "newly_admitted",
"source_id": "train2017/000000253094.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 31,
"group": "newly_admitted",
"source_id": "train2017/000000253094.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 33,
"group": "newly_admitted",
"source_id": "train2017/000000253094.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 34,
"group": "newly_admitted",
"source_id": "train2017/000000253094.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 35,
"group": "newly_admitted",
"source_id": "train2017/000000253094.jpg",
"support": 64,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 36,
"group": "newly_admitted",
"source_id": "train2017/000000440755.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 37,
"group": "newly_admitted",
"source_id": "train2017/000000440755.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 38,
"group": "newly_admitted",
"source_id": "train2017/000000440755.jpg",
"support": 64,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 39,
"group": "newly_admitted",
"source_id": "train2017/000000440755.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 40,
"group": "newly_admitted",
"source_id": "train2017/000000440755.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 42,
"group": "newly_admitted",
"source_id": "train2017/000000233500.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 43,
"group": "newly_admitted",
"source_id": "train2017/000000233500.jpg",
"support": 24,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 45,
"group": "newly_admitted",
"source_id": "train2017/000000233500.jpg",
"support": 12,
"reference": "frozen",
"before": "correct",
"after": "abstained"
},
{
"index": 45,
"group": "newly_admitted",
"source_id": "train2017/000000233500.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 48,
"group": "newly_admitted",
"source_id": "train2017/000000423804.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 57,
"group": "newly_admitted",
"source_id": "train2017/000000330748.jpg",
"support": 12,
"reference": "frozen",
"before": "correct",
"after": "abstained"
},
{
"index": 57,
"group": "newly_admitted",
"source_id": "train2017/000000330748.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 66,
"group": "newly_admitted",
"source_id": "train2017/000000242039.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 72,
"group": "newly_admitted",
"source_id": "train2017/000000018647.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 75,
"group": "newly_admitted",
"source_id": "train2017/000000018647.jpg",
"support": 12,
"reference": "none",
"before": "correct",
"after": "abstained"
},
{
"index": 78,
"group": "newly_admitted",
"source_id": "train2017/000000260713.jpg",
"support": 12,
"reference": "frozen",
"before": "correct",
"after": "abstained"
},
{
"_indexOmission": "19 further items"
}
] |
| scope | Acquisition on sixteen new photographs; same-source partial reuse, not pose or semantic transfer |
Results and visual artifacts
Open a figure for its input, comparison, and result. Click an image to enlarge it.
Correct recalls, wrong responses and abstentions are shown separately. An unfamiliar photo has no correct remembered owner: abstention is appropriate, while an accepted memory is a false response. This public record includes 5 of 8 saved figures: summary comparisons and fixed examples, including every figure referenced by the guide. Reported aggregates include every case; individual records and complete outputs remain in the research archive.
What each vocabulary condition recalled
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
Benefit and uncertainty across image sources
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
Growth, reuse and additional storage
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
Fixed cue and actual readbacks: photograph 1
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
What shared pattern IDs refer to
Display derivative: WebP quality 90; maximum edge 2400 px. Original scientific pixels remain in the source run; do not measure this preview.
Limits and next question
One codec and one append-only acquisition policy. New-photo queries revisit the acquisition images; this is not transfer across pose, scale or independent instances. Added vocabulary and references consume extra storage beside the dense episodic memory.
Next question. Keep no cleanup as the default. Next, test whether patterns acquired from other photographs improve the existing learned memory-only feature-difference readout on independent photographs. Compare the original bank, expanded bank and predicted difference directly, with the codec, fitted readout and background correction held fixed. This comparison has not yet been implemented or evaluated; milestone 1.3 remains open.
Inspect the evidence
Download the methods and measurements for this experiment. Large training and saved-state files are not included.