private Track-P research programme · v0.5.5 R2 live evidence · updated 14 July 2026

ARC-AGI-3 × MDLxDCC

A CPU-first research arena for interactive reasoning: it watches unfamiliar game worlds, builds compact causal hypotheses, chooses informative legal actions, learns from state changes, and searches for better reasoning policies over many resumable experiments.

Current read: the v0.5.5 R2 system is technically healthy and has passed a real official-public diagnostic, completing one level across 25 public ARC-AGI-3 games with zero illegal executions and zero runtime errors. The active 14-day Forge is a separate development search over internal and synthetic ARC-like worlds—not an official leaderboard run.
14-day Forge runningBuild v0.5.5 R240.71 / 336 h capturedOfficial Gate D: PASSHumanLogic: disabled in current run
Forge time
40.71 h
12.12% of the 14-day / 336-hour target
Latest capture
g490
checkpoint is consistent through the preceding boundary; g490 report is also present
Candidate archive
2,543
ranked policies retained rather than deleted
Durable result rows
899,028
899,028 unique keys · 0 duplicates
Execution integrity
0 / 0
0 infrastructure errors · 0 executed illegal actions
Official public diagnostic
1 level
25 public games visited · not an official competition score
RDE events
163
representation-triggered resurrection attempts
Representation modes
6 / 6
all remain present in the active population
plain-language explanation

What is this, in ordinary language?

Imagine giving an AI a small unfamiliar video game with no instructions. It can see the screen and press legal controls, but it is not told what the objects mean, what the goal is, or how the world reacts. It must learn by carefully trying things.

ARC-AGI-3

The unfamiliar game

The benchmark presents new interactive environments. A capable agent must explore, infer the goal, learn the rules, remember what happened, and act efficiently.

MDL

Prefer the shortest useful explanation

Minimum Description Length rewards a compact model that explains more observations, predicts what will happen next, and needs fewer exceptions. Here “compression” means a shorter causal explanation—not simply a smaller image file.

DCC

A governor over specialists

The Digital Claustrum Controller decides which perception, probing, planning, memory, or repair specialist deserves compute right now. It can reduce, redirect, or stop unhelpful work.

Forge

A laboratory for reasoning policies

Thousands of candidate policies are evaluated on matched internal worlds. Better or interesting specialists are retained; weak methods are ranked low rather than permanently erased, so a later representation can make them useful again.

screen frame → detect objects, relations and changes → maintain several possible world models and goals → ask which legal action would teach us the most → predict the result → pass the action through a final legality projector → execute one action → compare prediction with reality → repair the model, update memory and reallocate compute
critical evidence boundary

Two different experiments must not be confused

official-public diagnostic

Real ARC-AGI-3 games

The frozen v0.5.5 R2 agent used the official SDK/API environment, visited all 25 public games, and completed one level in lp85. Gate D finished with clean integrity, zero illegal executions and zero errors.

This is real public-game evidence, but it is not a Kaggle leaderboard score and it is not evidence that the system solves ARC-AGI-3 generally.

development Forge

Internal and synthetic ARC-like worlds

The multi-day search evaluates candidate reasoning policies on historical internal families and six synthetic causal programs. The run contract explicitly forbids final-structural, official-public, and private-answer feedback from driving candidate selection.

Therefore 102/102 on a Forge panel is an internal development result, never an official ARC percentage.

Why keep this firewall? It lets us use official public games as a reality check without repeatedly tuning the search against the same public outcomes and quietly overfitting them.
latest validated state

The run is healthy, reproducible and still scientifically useful

StageResultWhat it establishes
Gate APASS · 313 tests0 failures, 0 errors; baseline, storage, legality and secret checks passed.
Fresh smokePASSFresh Windows C5-versus-C6 smoke recomputed rather than resumed from shipped rows.
Gate BPASS · 574/576Historical C6 compatibility and a calibration gain of +0.8403 with interval [0.8056, 0.8750].
ACTION6 gatePASS · 35 filesCoordinate actions are parameter-complete; the earlier click-action crash is closed.
Official Gate DPASS · 25/25 gamesOne public level completed; integrity CLEAN; 0 illegal; 0 errors.
Long ForgeRUNNING899,028 unique result rows, 2,543 archived candidates, 0 duplicate rows, 0 infrastructure errors.

The live extract is internally consistent and hash-manifested. A small snapshot timing caveat remains: the checkpoint and generation report can straddle one generation boundary while every captured file remains individually complete and verified.

what the long run has discovered

Technically clean; scientifically on a plateau

plateau

The generation-1 champion still leads

030fc719c5c4c2e09803 still holds the best stored score, 7.461517. After roughly 40.7 Forge hours and 2,543 archived candidates, no later policy has exceeded it. More generations are producing useful ablations, but not a new global breakthrough.

near challenger

Action-risk became competitive

148614318096c3501843, created by switching mdl_action_risk from 0 to 1, reached a best score of 7.458517—only 0.003 below the champion. This is promising, although not yet a stable superiority result.

representation

All six lenses remain alive

The active population still contains every representation mode, but mode 1 now holds 10 of 18 places. Diversity survives, while selection is visibly concentrating around the current successful regime.

objective warning

More of the same is unlikely to be enough

The long plateau suggests that the next progress will come from a new capability or challenge family—especially rotational invariance and latent delayed effects—not simply from extending the same search objective indefinitely.

mechanism evidence

Which parts are earning their place?

The following counts describe the best 100 archived development candidates. They are strong associations on the current internal panel. The matched ablations provide the more causal evidence.

MechanismPresent in top 100Latest matched evidenceInterpretation
DCC mode 3100 / 10095 solved → 52 with mode 1; 95 → 50 with mode 2Strongest current routing signal; changing it causes a large collapse.
Temporal graph100 / 100Consistently retainedTracking events and state transitions is central to the surviving policies.
Transform recovery v2100 / 10095 → 89 and 100 → 94 when disabledClear positive evidence for recovering from wrong transform hypotheses.
Executable DSL99 / 100Earlier ablations concentrate failures in semantic repairExecutable models appear to help more than prose-like or non-executable hypotheses.
Diagnostic probing95 / 100Widely retainedInformation-seeking actions are useful, though probe policy still needs broader validation.
Cross-level capsules93 / 100Widely retainedCompact transfer of verified mechanisms across levels is supported.
Online RDE policy0 / 100100 → 97 in a matched recent mutation; more actions and computeThe archive principle is valuable, but the current online resurrection routing is not.
Predictive state / VOC0 / 100No positive promotion signal yetNot disproven universally; the current panel and implementation do not reward them.
Important distinction: “Rank, Don’t Eliminate” is working as an archive discipline. The controlled resurrection mechanism can identify a method when the right representation appears. But the current online selector repeatedly revisits too narrow a subset and often hurts completion.
two concrete remaining blind spots

The failure data now points to specific architectural fixes

GP02 · rotational routing

A 180° rotation changes the perceived task class

In reproduced failure seeds, a rot180 presentation was interpreted as “risk,” routed to the frozen C5 specialist, and fell back to repeated ACTION5 instead of exploring legal coordinate clicks. Other flips of the same causal world were routed to the causal planner and solved.

General fix: D4-canonical perception and a contract-aware rule that preserves coordinate exploration when a legal coordinate action exists.

GP05 · latent delayed effect

Three no-ops are mistaken for failure

Some worlds require the same correct action four times: the first actions appear to do nothing, and only the later repetition reveals the effect. The current agent repeats it three times, marks it exhausted, then spends the remaining budget on another action.

General fix: a bounded run-length hypothesis: repeated semantic no-ops may be evidence of a delayed threshold, not proof that the action is wrong.

Why this matters beyond synthetic tasks: interactive worlds often hide modes, charge states, locks, counters or delayed consequences. A robust agent must distinguish “nothing happened yet” from “this action can never work.”
rank, don’t eliminate

The archive is broad; the resurrection selector is narrow

All 2,543 candidates remain available. However, the 163 recorded resurrection events concentrate heavily:

representation 0
24
representation 1
139
representations 2–5
0

The same old champion was resurrected 87 times, and the action-risk candidate 25 times. The next selector should add cooldown, novelty, uncertainty, and rotation over method × representation × regime cells instead of repeatedly selecting the same high-ranked dormant method.

search diversity

Mode 1 dominates, but the search has not collapsed

mode 0
1
mode 1
10
mode 2
2
mode 3
1
mode 4
2
mode 5
2

The full archive remains wider: modes 0–5 contain 414, 866, 336, 285, 320 and 322 candidates respectively. This is a useful reservoir for future representation-triggered re-evaluation.

engineering scale

Large evidence, compact enough to continue

result shards

754.1 MB

Compact episode records at approximately 838.8 bytes per result row.

index

150.4 MB

Exactly aligned with 899,028 unique result keys.

projected core

≈ 6.95 GiB

Linear projection of shards and index to the full 14-day target.

estimated total

≈ 12–14 GiB

Includes a rough trace allowance; this remains an estimate because full trace blobs are intentionally excluded from the live extract.

current visual evidence

Latest run at a glance

The previous compact refresh described the evidence but removed the visual layer. This dashboard restores a visual reading of the current v0.5.5 R2 run, while the full historical ARC-grid atlas is preserved directly below.

Growth since the 6-hour pilot

Normalized comparison between the pilot snapshot and the latest 40.71-hour extract.

Forge hours 6.2540.71 Generations 117490 Archive 6942,543 Rows 216k899k pilotlatest
All result rows remain unique; no duplicate or infrastructure-error growth accompanied this scale-up.

Mechanisms retained by the top 100

Association within the current internal development archive; matched ablations remain the stronger causal evidence.

DCC mode 3100 Temporal graph100 Transform recovery100 Executable DSL99 Diagnostic probing95 Cross-level capsules93 Online RDE0
Online RDE is not being promoted, while archive retention itself remains valuable.

Active representation mix

All six lenses survive, although mode 1 now occupies more than half of the active population.

1M0 10M1 2M2 1M3 2M4 2M5
The full archive is broader than the active population and remains available for later re-evaluation.

What is blocking further progress

The long run is now producing specific architectural diagnoses rather than merely more candidate counts.

GP02 rot180misclassified as risk→ frozen C5 → ACTION5 NeededD4-canonical perceptioncontract-aware routing GP05 no-opsthree repeats look uselessbefore the fourth reveals effect Neededlatent-effect thresholdbounded persistence model v0.6Official-Firstnew epoch
The plateau is informative: it identifies missing invariance and delayed-effect reasoning rather than a runtime defect.
evidence lineage

How the arena reached v0.5.5 R2

v0.4 · static ARC

40 runs, 5,284 run-task evaluations and 39 unique train-fit exact tasks. It established that category × primitive-family routing mattered more than blind global composition.

v0.5.1–0.5.3

Interactive mechanisms, staged Forge search, durable resume, matched seeds, budget enforcement, failure mining and compact live extracts became operational.

v0.5.4 · C6

Added causal observation envelopes, temporal scene graphs, executable transition models, probing, planning, memory scopes, repair, legal-action projection and a dormant-method archive.

v0.5.5 R2 · current

Closed ACTION6 parameter bugs, hardened narrow-grid handling, aligned authorization and run contracts, made resume source-aware, reduced storage, and passed the first clean 25-game official-public diagnostic with non-zero capability.

The complete v0.4 visual atlas and analytical record are embedded below, clearly labelled as historical evidence.

preserved visual and analytical lineage

The full v0.4 ARC visual record remains part of the page

Why this section is here: the earlier refresh mistakenly removed the inline ARC-grid examples, charts and historical tables while adding the new v0.5.5 R2 narrative. They are restored below in full. They document the static ARC / ARC-AGI-2 lineage and must not be confused with the current interactive ARC-AGI-3 official result.

The three large input → target → prediction visual cards, seven historical tables, chain2 analysis, primitive-family evidence, failure buckets and reproducibility notes are preserved rather than summarized away.

historical v0.4 evidence

Historical visual evidence layer — v0.4 static ARC

Historical scope: these inline grids come from the earlier static ARC branch. They are retained because they show the actual visual diagnostics and development lineage; they are not screenshots of the current ARC-AGI-3 public-game run.

The local arc_report.html pages are valuable because they show train input, target, winner prediction, exact/near-miss status, categories, candidate counts, and failure buckets. Instead of embedding every run report, the v0.4 package should carry a compact atlas plus links back to per-run reports.

Small preview from selected exacts

natural-law fill_holes00d62c1b

run 02_dev50_wide_nochain2 · family fill_holes · LOO 1.000 · fill holes bg=0 with color=4

train input
target
winner prediction
routed chain2 recolor62ab2642

run 44_color_family_color · family chain2 · LOO 1.000 · chain2: component_recolor -> component_recolor

train input
target
winner prediction
substitution expansion007bbfb7

run 43_expand_family_macro · family substitution_expand · LOO 1.000 · substitution expand k=3 source=full_input active=non_bg recolor=preserve bg=0

train input
target
winner prediction

Package rule: place the generated key bundle beside this page as arc_v04_key_bundle/. Keep the huge original out_arc_v04_overnight_w10 outside the MDLxDCC package unless needed locally.

historical v0.4 evidence

Historical v0.4 overnight findings

Top runs by exact / HIGH / LOO

RunCatFamily catTasksExactHIGHLOO avgExact/hourRuntimeChain2 exactExact families
28_cat_symmetry_widesymmetryall16014120.0916.52:09:370erode_color:1; fill_holes:2; line_connect:1; object_to_marker:1; outline_foreground:1; ray_cast:1; recolor_by_map:1; scale_up_integer:1
32_cat_easy_signature_wideeasy_signatureall16014120.084150.50:05:350erode_color:1; global_color_replace:1; line_connect:1; recolor_by_map:2; remove_background:1; rotate:1; scale_up_integer:2; substitution_expand:1
21_cat_macro_widemacroall16014110.0826.52:08:160crop_largest_object:1; crop_non_bg_bbox:1; diagonal_connect:1; extract_object:1; fill_holes:1; gravity_pack:1; line_connect:2; recolor_by_map:1
15_cat_crop_like_widecrop_likeall16011100.0801.95:40:030block_compress:1; compress_blank_rows_cols:1; crop_largest_object:2; crop_non_bg_bbox:1; extract_object:1; pad_resize:1; remove_background:1; tile_repeat:3
11_cat_in_canvas_widein_canvasall1601190.0662.64:12:260diagonal_connect:1; fill_holes:1; gravity_pack:1; line_connect:2; outline_foreground:1; recolor_by_map:1; rotate:1; symmetry_complete:1
10_cat_same_shape_widesame_shapeall1601190.0662.44:36:480diagonal_connect:1; fill_holes:1; gravity_pack:1; line_connect:2; outline_foreground:1; recolor_by_map:1; rotate:1; symmetry_complete:1
45_paint_family_color_morphrecolor_or_paintcolor,morphology,line2201190.0505.02:12:522chain2:2; diagonal_connect:1; erode_color:1; fill_holes:1; line_connect:2; outline_foreground:1; ray_cast:1; recolor_by_map:1
17_cat_sequence_widesequenceall1601090.0643.92:35:350crop_largest_object:1; crop_non_bg_bbox:1; extract_object:1; fill_holes:1; gravity_pack:1; line_connect:1; recolor_by_map:1; substitution_expand:1
24_cat_frame_wideframeall1601090.0634.72:08:050block_compress:1; crop_largest_object:1; crop_non_bg_bbox:1; extract_object:1; outline_foreground:1; substitution_expand:2; tile_repeat:3
51_crop_family_core_objectcrop_likecore,object1861080.060107.80:05:341chain2:1; crop_largest_object:2; crop_non_bg_bbox:1; extract_object:1; pad_resize:1; remove_background:1; tile_repeat:3
23_cat_multicolor_object_widemulticolor_objectall1601080.0574.42:15:570block_compress:1; crop_largest_object:1; extract_object:1; gravity_pack:1; pad_resize:1; recolor_by_map:1; rotate:1; scale_up_integer:1
30_cat_hard_widehardall120870.0661.26:34:190block_compress:1; compress_blank_rows_cols:1; crop_largest_object:1; extract_object:1; pad_resize:1; tile_repeat:2; wire_connect:1
20_cat_recolor_or_paint_widerecolor_or_paintall160860.0473.72:10:090diagonal_connect:1; fill_holes:1; line_connect:2; outline_foreground:1; recolor_by_map:1; symmetry_complete:1; wire_connect:1
25_cat_holes_wideholesall160660.0482.12:54:490crop_largest_object:1; extract_object:1; fill_holes:1; mirror:1; pad_resize:1; tile_repeat:1

Best ROI routes

RunCatFamily catTasksExactHIGHLOO avgExact/hourRuntimeChain2 exactExact families
43_expand_family_macroexpandmacro68440.070348.00:00:410scale_up_integer:2; substitution_expand:2
49_motion_family_motion_objectmotionmotion,object19220.105346.60:00:210extract_multicolor_object:1; translate_object:1
60_full_integer_expand_macrointeger_expandmacro38440.113167.90:01:260scale_up_integer:2; substitution_expand:2
14_cat_integer_expand_wideinteger_expandall38440.121154.40:01:330scale_up_integer:2; substitution_expand:2
32_cat_easy_signature_wideeasy_signatureall16014120.084150.50:05:350erode_color:1; global_color_replace:1; line_connect:1; recolor_by_map:2; remove_background:1; rotate:1; scale_up_integer:2; substitution_expand:1
51_crop_family_core_objectcrop_likecore,object1861080.060107.80:05:341chain2:1; crop_largest_object:2; crop_non_bg_bbox:1; extract_object:1; pad_resize:1; remove_background:1; tile_repeat:3
27_cat_motion_widemotionall19550.30768.40:04:230crop_non_bg_bbox:1; mirror:1; remove_background:1; rotate:1; translate_object:1
44_color_family_colorcolorcolor220210.00751.80:02:191chain2:1; recolor_by_map:1
46_object_family_objectobjectobject220430.02549.60:04:500extract_multicolor_object:2; extract_object:1; translate_object:1
48_morphology_family_morphmorphologymorphology220320.01745.00:04:001chain2:1; fill_holes:2
47_multicolor_family_object_colormulticolor_objectobject,color220310.00933.10:05:260extract_multicolor_object:1; extract_object:1; recolor_by_map:1
62_full_color_familycolorcolor80100.00626.80:02:140recolor_by_map:1
Routing signal: 32_cat_easy_signature_wide gives 14 exact in 5:35; 51_crop_family_core_object gives 10 exact in 5:34; 43_expand_family_macro gives 4 exact in 41 seconds. These are the lanes v0.5 should remember and route toward first.
historical v0.4 evidence

Historical finding: chain2 was weak globally but useful when routed

The 50-task global baseline with chain2 and the no-chain2 ablation both produced 4 exact / 3 HIGH. The no-chain2 run used roughly half the runtime. That keeps chain2 out of the global default.

But routed chain2 produced 5 exact rows across 5 unique tasks, with 3 robust LOO=1.0 rows. The useful cases are mostly color/morph/crop compositions such as line_connect → component_recolor or fill_holes → global_color_replace.

v0.5 rule: add --chain2-policy off|always|routed|exact-only. Default should be routed, with category evidence and per-family caps.
historical v0.4 evidence

Historical primitive-family signal

Exact win familyRows
tile_repeat20
fill_holes17
substitution_expand16
line_connect16
recolor_by_map15
wire_connect14
scale_up_integer12
crop_largest_object12
extract_object11
translate_object9
diagonal_connect8
outline_foreground7
gravity_pack6
symmetry_complete6
crop_non_bg_bbox6
pad_resize6
Near-miss familyRows
global_color_replace747
identity690
pad_resize537
line_connect341
erode_color240
fill_holes232
translate_object187
diagonal_connect184
frame_extract172
crop_color_bbox170
row_col_project156
tile_repeat135
extract_multicolor_object125
crop_largest_object103
component_recolor91
chain282

Row counts are not unique-task counts because the same task can appear in several category slices. Still, the repeated winners are informative: tile_repeat, fill_holes, substitution_expand, line_connect, recolor_by_map, wire_connect, scale_up_integer, crop_largest_object, and extract_object are the current strongest families.

historical v0.4 evidence

Historical first-discovery progression

Across the 40-run bundle, v0.4 finds 39 unique exact train-fit task ids; 33 have best LOO=1.0. Baseline global runs found 4; the rest came from slicing and routing.

First run that found taskNew exact task idsRobust LOO=1.0Task ids
01_dev50_wide_all43007bbfb7, 00d62c1b, 070dd51e, 0d3d703e
10_cat_same_shape_wide871e0a9b12, 1f876c06, 22168020, 22eb0ac0, 25ff71a9, 3c9b0459, 4347f46a, 496994bd
13_cat_expand_wide335b6cbef5, 60c09cac, c59eb873
15_cat_crop_like_wide11101cf80156, 1f85a75f, 2013d3e2, 23b5c85d, 28bf18c6, 5614dbcf, 5bd6f4ac, 68b67ca3, 73182012, a740d043, be94b721
25_cat_holes_wide1167a3c6ac
28_cat_symmetry_wide44623ea044, 6f8cd79b, 88a10436, a5313dff
32_cat_easy_signature_wide329dfd6313, aabf363d, c8f0f002
44_color_family_color1162ab2642
45_paint_family_color_morph220d87d2a6, 7b6016b9
48_morphology_family_morph1091714a58
51_crop_family_core_object10b9b7f026
historical v0.4 evidence

Historical failure buckets and runtime bombs

Failure bucketRows
needs_depth2_composition4985
near_miss_small_rule_gap2801
needs_natural_law_primitive1795
needs_in_canvas_rule1180
needs_relational_object_reasoning1086
needs_wire_crossing_or_signal_priority302
needs_crop_then_recolor_or_mask_cleanup220
needs_substitution_or_morphogenesis206
needs_crop_resize_or_canvas_transform137
unknown_or_small_missing_step25
needs_transform_then_crop_or_recolor17
RunCatFamily catTasksExactHIGHLOO avgExact/hourRuntimeChain2 exactExact families
81_holdout_line_widelineline100000.0030.03:51:300
41_sequence_family_linesequenceline220110.0060.42:49:120line_connect:1
52_holes_family_morph_naturalholesmorphology,natural220220.0180.45:00:510fill_holes:2
31_cat_slow_risk_quickslow_riskall116220.0220.63:29:370crop_largest_object:1; wire_connect:1
30_cat_hard_widehardall120870.0661.26:34:190block_compress:1; compress_blank_rows_cols:1; crop_largest_object:1; extract_object:1; pad_resize:1; tile_repeat:2; wire_connect:1
40_line_family_linelineline220430.0191.42:50:410diagonal_connect:1; line_connect:2; wire_connect:1
61_full_line_familylineline80220.0251.91:03:260diagonal_connect:1; wire_connect:1
15_cat_crop_like_widecrop_likeall16011100.0801.95:40:030block_compress:1; compress_blank_rows_cols:1; crop_largest_object:2; crop_non_bg_bbox:1; extract_object:1; pad_resize:1; remove_background:1; tile_repeat:3
26_cat_morphology_widemorphologyall160660.0482.02:57:280crop_largest_object:1; extract_object:1; fill_holes:1; mirror:1; pad_resize:1; tile_repeat:1
25_cat_holes_wideholesall160660.0482.12:54:490crop_largest_object:1; extract_object:1; fill_holes:1; mirror:1; pad_resize:1; tile_repeat:1

needs_depth2_composition is too broad. It appears almost everywhere and must be split into object matching, macro-grid, line completion, marker instruction, crop/resize, color-role transfer, local cellular rule, and canvas transformation buckets. identity and global_color_replace near-misses are also too noisy and should be treated as diagnostic hints, not strong routes.

historical v0.4 evidence

Historical v0.5 update plan — preserved as a development record

Next overnight stance: ready for v0.5-alpha once routing/memory/failure-bucket changes land. Do not spend the next run on blind all-family full-budget expansion.
historical v0.4 evidence

Historical reproducibility and artifact layout

Canonical source files remain the arena code, batch file, summarizer, and JSON outputs. The compact key bundle is the MDLxDCC-facing artifact.

python arc_mdlxdcc_arena_v0_4.py --data-dir D:\8Z\8z\ARC\ARC-AGI-2 --split dev --max-tasks 50 --outdir out_arc_v04_quick_w10 --mode both --fresh --budget wide --workers 10 --progress-every 5
python summarize_arc_overnight.py out_arc_v04_overnight_w10
python arc_collect_keydata_v04.py out_arc_v04_overnight_w10 --out out_arc_v04_keybundle

Expected local package link target: arc_v04_key_bundle/arc_visual_atlas.html, arc_v04_key_bundle/arc_report_hub.html, arc_v04_key_bundle/run_index.csv, and arc_v04_key_bundle/task_index.csv.

next research epoch

What should happen next

  1. Let v0.5.5 R2 continue. It is still generating clean ablation evidence even though the global objective is on a plateau.
  2. Build D4-canonical causal perception. The same mechanism should not be routed to a different specialist merely because the whole scene is rotated.
  3. Add latent-effect persistence. Model an unknown repetition threshold and treat a bounded series of no-ops as evidence, not immediate exhaustion.
  4. Broaden resurrection sweeps. Add cooldown, novelty and representation-cell coverage; retain the archive but do not repeatedly revive the same candidate.
  5. Start a new v0.6 Official-First epoch. Use public games as an explicitly declared development branch with protected validation, no task-ID solution lookup, and a clean separation from future hidden evaluation.
Do not claim a breakthrough from internal 102/102 panels. The strongest current external fact is much smaller but more valuable: the agent completed one real official-public level cleanly, and the long synthetic search has now revealed exactly why transfer remains weak.
claim boundary and page hygiene

What this work does—and does not—show

ShowsA technically stable causal-agent research platform with measurable specialist effects and one clean non-zero official-public result.
Does not showA strong general ARC-AGI-3 solver, an official RHAE score, a hidden-evaluation result, AGI, ASI or consciousness.
No secret payloadsThis page contains no API keys, recordings, answer files, private source code, local machine paths or embedded archives.
Evidence remains externalAuthoritative ledgers, manifests, journals, checkpoints, generation files and live extracts remain separate reproducibility artifacts.