BASELINE · RAW MATRIX
Transformer hallucination.
900 integers → no spatial grounding.
0/10 tasks solved.
The wall is not the model.
The wall is the interface.
RUN 4 · OPTIC NERVE
24.3%
CELL MATCH · REPRESENTATION
900 ints → verified objects.
3 near-misses (58–71% cell).
Semantic understanding: ✅
Motor controls: ❌
The model sees the board.
It just cannot move the pieces.
RUN 5 · DSL EXECUTION
--.-%
CELL MATCH · TARGET: >40%
Injecting translate_object
Injecting recolor_object
is_monochrome: ✅ PROVEN (apply_object_color)
is_connected: sorry IRF-DSL-TRANSLATE-CONN-V2
[ AWAITING SYNTHESIS ]
RUN 5 HYPOTHESES
H1
009d5c81 at 83.7% → 100%.
This 3-object task had the rule perceived in Run 4. DSL hands give OVERSEER
translate_object to finish the job. Prediction: correct.
HIGH CONFIDENCE
H2
136b0064, 1ae2feb7, 16de56c4 (58–71% Run 4) improve to >85%.
The gap between 71% and 100% is motor control, not perception.
These tasks have rules the model already identified; it needs the verb to act on them.
MEDIUM CONFIDENCE
H3
Object complexity ceiling holds: >15 objects → synthesis window exceeded.
00d62c1b (0% in Run 4, complex) stays near zero. The DSL helps with the motor,
not the combinatorial search. Verified by Run 4 data.
CONFIRMED IN RUN 4
H4
Cell match: 24.3% → >40% eval. First correct eval task possible.
If H1 holds (one task → 100%), overall score jumps to 10%. Two tasks = 20%.
The Grail Protocol triggers at sorry_count = 0 in CI; Run 5 first task solve
triggers the Run 5 gold panel update.
PENDING EXECUTION
RUN 5 PROMPT INJECTION · OVERSEER UPGRADE
RUN 4 PROMPT (describe state)
-- OVERSEER receives object descriptors,
-- outputs natural language description.
Object 1: Red, pixels=4,
bbox=(2,1,4,2), connected=true
Object 2: Blue, pixels=3,
bbox=(2,5,4,6), connected=true
-- Model output:
"The red L-shape on the left mirrors
the blue shape on the right."
-- Result: semantic understanding ✅
-- motor action: ❌ (no verb)
RUN 5 PROMPT (issue command)
-- OVERSEER receives object descriptors
-- + DSL verb definitions, outputs DSL command.
Object 1: Red, bbox=(2,1,4,2)
Target: Red, bbox=(2,5,4,6)
Available DSL verbs:
translate_object obj dr dc → Option ARC_Object
recolor_object obj color → ARC_Object
-- (boundaries enforced; OOB → none)
Execute DSL Command:
-- Model output:
translate_object obj_1 0 4
-- Lean verifies: in-bounds ✅
-- apply_object_to_grid executes: ✅
LEAN 4 SORRY INVENTORY · ARCGrid.lean · POST ABR-841
recolor_v2 is_monochrome
apply_object_color (1 line)
✅ CLOSED
translate_v2 is_monochrome
apply_object_color (1 line)
✅ CLOSED
IRF-DSL-TRANSLATE-CONN-V2
path lifting via shift bijection
🔴 OPEN
IRF-DSL-RECOLOR-MAX
erase precondition
🔴 OPEN
IRF-DSL-TRANSLATE-MAX-V2
erase precondition
🔴 OPEN
IRF-ARC-DSL-003-COVER
partition coverage
🔴 OPEN
IRF-ARC-DSL-003-DISJOINT
pairwise disjoint objects
🔴 OPEN
IRF-ARC-DSL-TAUSELECT
foldl τ_γ₁ invariant
🔴 OPEN
translate_object_card
shift_cell injectivity → card
🔴 OPEN
IRF-ARC-DSL-PRECOMPUTE
arc_precompute downstream
🔴 OPEN
overseer_shift_card
downstream of precompute
🔴 OPEN
Total sorrys: 11 ·
Closed this session: 2 (both is_monochrome) ·
Next boss: IRF-DSL-TRANSLATE-CONN-V2 (path lifting)
· Grail triggers at: 0
RUN 5 TARGET TASKS · RUN 4 NEAR-MISSES
009d5c81
83.7%
→ 100% expected
3-obj task · rule perceived · DSL hand = finish
1ae2feb7
71.0%
→ >85% target
near-miss · color rule + translate candidate
136b0064
69.2%
→ >80% target
near-miss · spatial translate candidate
16de56c4
58.7%
→ >75% target
near-miss · recolor candidate
00d62c1b
~0%
wall holds
15+ objects · combinatorial ceiling · DSL does not help here
ABR-841 · RUN 5 DSL HANDS · γ₁ = 14.134725141734693 · Representation was Run 4. Run 5 is Action.