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Cliste experiment
What can the current memory system still do?
Registered 10 Oct 2026 · Snapshot 12 Oct 2026
The question
Record current recall, temporal continuation, held work, restart and editing behavior before adding continuing vocabulary acquisition.
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
Measure the current memory before vocabulary growth: known and unfamiliar partial cues, two temporal successors and all earlier two-edit sequences. This establishes the comparison baseline; it does not test the expanded bank.
Follow this part of the investigation: Grow the vocabulary, then test whether it helps →Implementation and comparison details
Replay 144 saved cue fields against the actual 307-encounter ancestry, then check temporal use, a native restart and the existing two-step edits. A sibling study's photographs are unfamiliar in this branch.
What happened
The independent audit passed. With 307 remembered encounters, the current recall rule correctly recovered 44 of 80 known image cues and returned no memory for the other 36; it made no wrong responses on those known cues. One of 64 unfamiliar cues was incorrectly accepted as a memory. All 32 earlier two-edit sequences reproduced both intermediate and final vectors, along with their decoded crops, exactly. Held working content survived saving and restarting and could be released normally. Temporal replay was tested with an allowance of 14 million comparisons; the default limit of 4 million refused the search. This establishes the behavior of the tested current system, including its limitations. It does not establish that every historical scenario is integrated or preserved.
Measurements
| Recorded field | Value |
|---|---|
| rows | [
{
"index": 0,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 12,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
57
],
"accepted_episode": null,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": null
},
{
"index": 0,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 12,
"arm": "support_scaled",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 1,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 24,
"arm": "baseline",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 1,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 24,
"arm": "support_scaled",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 2,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 64,
"arm": "baseline",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 2,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 64,
"arm": "support_scaled",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 3,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 12,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
57
],
"accepted_episode": null,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": null
},
{
"index": 3,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 12,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
57
],
"accepted_episode": null,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": null
},
{
"index": 4,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 24,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
57
],
"accepted_episode": null,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": null
},
{
"index": 4,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 24,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
57
],
"accepted_episode": null,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": null
},
{
"index": 5,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 64,
"arm": "baseline",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 5,
"source_id": "train2017/000000105643.jpg",
"panel": "earlier",
"support": 64,
"arm": "support_scaled",
"outcome": "correct",
"expected_episodes": [
57
],
"accepted_episode": 57,
"candidate": 57,
"owner_ranks": {
"57": 1
},
"correct_two_successors": true
},
{
"index": 6,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 12,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 13,
"owner_ranks": {
"69": 2
},
"correct_two_successors": null
},
{
"index": 6,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 12,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 13,
"owner_ranks": {
"69": 2
},
"correct_two_successors": null
},
{
"index": 7,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 24,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"index": 7,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 24,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"index": 8,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 64,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"index": 8,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 64,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"index": 9,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 12,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 163,
"owner_ranks": {
"69": 8
},
"correct_two_successors": null
},
{
"index": 9,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 12,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 163,
"owner_ranks": {
"69": 8
},
"correct_two_successors": null
},
{
"index": 10,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 24,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 140,
"owner_ranks": {
"69": 5
},
"correct_two_successors": null
},
{
"index": 10,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 24,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 140,
"owner_ranks": {
"69": 5
},
"correct_two_successors": null
},
{
"index": 11,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 64,
"arm": "baseline",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"index": 11,
"source_id": "train2017/000000230151.jpg",
"panel": "earlier",
"support": 64,
"arm": "support_scaled",
"outcome": "abstained",
"expected_episodes": [
69
],
"accepted_episode": null,
"candidate": 69,
"owner_ranks": {
"69": 1
},
"correct_two_successors": null
},
{
"_indexOmission": "264 further items"
}
] |
| summaries | {
"earlier:baseline": {
"abstained": 34,
"fields": 48,
"correct": 14
},
"earlier:support_scaled": {
"correct": 19,
"fields": 48,
"abstained": 29
},
"cache_sibling:baseline": {
"abstained": 63,
"fields": 64,
"wrong": 1
},
"cache_sibling:support_scaled": {
"abstained": 63,
"fields": 64,
"wrong": 1
},
"oldest:baseline": {
"correct": 25,
"fields": 32,
"abstained": 7
},
"oldest:support_scaled": {
"correct": 25,
"fields": 32,
"abstained": 7
}
} |
| fields | 144 |
| decisions | 288 |
| scope | Current branch outcomes; historical sibling admission labels are not current truth |
Recorded checks
| Recorded field | Value |
|---|---|
| ordinary restart | Pass |
| held | Pass |
| release | Pass |
| unchanged acquired state | Pass |
| complete 144 rows | Pass |
| default budget refusal | Pass |
| sequential edit vectors | Pass |
| disk budget | Pass |
| free reserve | Pass |
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 1 of 1 saved figures.
Recall in the current life
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
This records current successes and failures; it does not certify that every historical capability is preserved. No new experience is acquired in this baseline. A successful engineering check is distinct from correct recall.
Next question. Repeat the relevant behavior after vocabulary acquisition, separating the effect of new competing episodes from the effect of cleanup.
Inspect the evidence
Download the methods and measurements for this experiment. Large training and saved-state files are not included.