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Add bounded ZeroGPU portability receipts

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README.md CHANGED
@@ -27,6 +27,12 @@ The long-horizon evidence includes a matched-runtime reproduction receipt for
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  the exact PyTorch 2.13 result through 8,192 transitions and separately records
28
  the observed PyTorch 2.8 strict-hash portability boundary.
29
 
 
 
 
 
 
 
30
  ## License
31
 
32
  Original Dataset material is licensed under the Creative Commons Attribution
@@ -43,4 +49,5 @@ are not relicensed by this Dataset.
43
  itself. The final HF Space must pin an exact Dataset commit rather than follow
44
  the mutable `main` branch.
45
 
46
- Status: local clean-room candidate; not committed, uploaded, or published.
 
 
27
  the exact PyTorch 2.13 result through 8,192 transitions and separately records
28
  the observed PyTorch 2.8 strict-hash portability boundary.
29
 
30
+ `evidence/horizon/zerogpu-portability/` adds a bounded three-horizon control
31
+ comparing the local PyTorch 2.13 CPU path with a PyTorch 2.13 CUDA run on
32
+ Hugging Face ZeroGPU. Every recorded scientific decision agreed; blanket
33
+ numerical identity did not. The control is neither a full 8,192-transition
34
+ reproduction nor a CPU-versus-GPU performance benchmark.
35
+
36
  ## License
37
 
38
  Original Dataset material is licensed under the Creative Commons Attribution
 
49
  itself. The final HF Space must pin an exact Dataset commit rather than follow
50
  the mutable `main` branch.
51
 
52
+ Status: public evidence Dataset. Publishing the Community Article remains a
53
+ separate final gate.
evidence/horizon/zerogpu-portability/README.md ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Bounded ZeroGPU portability control
2
+
3
+ This directory records a three-horizon portability control at horizons 32, 64,
4
+ and 128. It compares the local CPU authority path with a Hugging Face ZeroGPU
5
+ CUDA execution using the same hash-bound checkpoint and PyTorch 2.13 family.
6
+
7
+ Files:
8
+
9
+ - `local-cpu-run-receipt.json` records the complete local CPU authority run,
10
+ including the exact result through horizon 8,192 and observed resource use.
11
+ - `local-cpu-measurements.json` contains that run's machine-readable
12
+ measurements.
13
+ - `zerogpu-receipt.json` records the bounded CUDA environment, comparisons,
14
+ numerical deltas, and interpretation.
15
+
16
+ All decision-bearing comparisons agreed for the three tested horizons. The
17
+ complete arrays were not blanket-identical: the largest absolute difference
18
+ was approximately 0.00070273 in a third-order final log-log slope near its
19
+ numerical resolution, while the largest scaled-discrepancy difference was
20
+ approximately 2.22e-16. The difference did not change any recorded scientific
21
+ disposition.
22
+
23
+ This is a cross-hardware portability control, not an independent replication,
24
+ a full CUDA rerun through 8,192 transitions, or a speed benchmark. The complete
25
+ local CPU run remains the scientific authority. Executable source is stored in
26
+ the companion GitHub repository at an immutable revision.
evidence/horizon/zerogpu-portability/local-cpu-measurements.json ADDED
The diff for this file is too large to render. See raw diff
 
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@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "sno.local-cpu-bounded-baseline.v1",
3
+ "date": "2026-09-14",
4
+ "scope": "matched-runtime local CPU execution of the frozen 32,64,128 horizon subset",
5
+ "command": "python run_causal_horizon_breakpoint.py --horizons 32,64,128",
6
+ "environment": {
7
+ "python": "3.13.13",
8
+ "platform": "macOS-27.0-arm64-arm-64bit-Mach-O",
9
+ "numpy": "2.5.1",
10
+ "matplotlib": "3.11.1",
11
+ "pytorch": "2.13.0",
12
+ "device": "host CPU",
13
+ "dtype": "torch.float64",
14
+ "torch_threads": 1
15
+ },
16
+ "checkpoint": {
17
+ "sha256": "c57200ce04c357228a71e15478b9580322dced7b7111c7c74f05356086c71384",
18
+ "byte_identical_to_complete_ladder_input": true
19
+ },
20
+ "result": {
21
+ "measurements_sha256": "f819356aa1d25c9e306c1e91411c7c3a54377db42e516ead31aeaf786b5aece9",
22
+ "horizons": [32, 64, 128],
23
+ "all_statuses": ["PASS", "PASS", "PASS"],
24
+ "all_stop_reasons_empty": true
25
+ },
26
+ "resources": {
27
+ "elapsed_seconds": 151.17,
28
+ "user_cpu_seconds": 29.75,
29
+ "system_cpu_seconds": 24.48,
30
+ "maximum_resident_set_bytes": 1043890176,
31
+ "peak_memory_footprint_bytes": 440993520,
32
+ "swaps": 0,
33
+ "measurement_tool": "/usr/bin/time -lp"
34
+ },
35
+ "claim_ceiling": "This is a matched local timing and numerical reference for the three-horizon portability subset. It is not the complete 32-through-8192 authority run."
36
+ }
evidence/horizon/zerogpu-portability/zerogpu-receipt.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "checkpoint": {
3
+ "input_role": "byte-identical checkpoint generated by the local CPU authority path",
4
+ "matches_cpu_authority": true,
5
+ "sha256": "c57200ce04c357228a71e15478b9580322dced7b7111c7c74f05356086c71384"
6
+ },
7
+ "comparison": {
8
+ "all_horizon_decisions_agree": true,
9
+ "all_numeric_values_close_rtol_1e-9_atol_1e-12": false,
10
+ "cpu_reference_sha256": "b48af9b94fe9d5b0e54300d1633349c055c064e694d212ce2818bb52e2f72b7a",
11
+ "horizons": [
12
+ 32,
13
+ 64,
14
+ 128
15
+ ],
16
+ "numeric_leaf_count": 2373,
17
+ "per_horizon": [
18
+ {
19
+ "all_records_finite": true,
20
+ "decision_agreement": true,
21
+ "each_order_improves_alpha_one": true,
22
+ "event_positions_match_cpu": true,
23
+ "finite_baseline": true,
24
+ "horizon": 32,
25
+ "residual_order_dispositions_match_cpu": true,
26
+ "status": "PASS",
27
+ "status_matches_cpu": true,
28
+ "stop_reasons_match_cpu": true,
29
+ "third_order_material_sign_accuracy": 1.0,
30
+ "third_order_relative_mae": 4.270185763311071e-08
31
+ },
32
+ {
33
+ "all_records_finite": true,
34
+ "decision_agreement": true,
35
+ "each_order_improves_alpha_one": true,
36
+ "event_positions_match_cpu": true,
37
+ "finite_baseline": true,
38
+ "horizon": 64,
39
+ "residual_order_dispositions_match_cpu": true,
40
+ "status": "PASS",
41
+ "status_matches_cpu": true,
42
+ "stop_reasons_match_cpu": true,
43
+ "third_order_material_sign_accuracy": 1.0,
44
+ "third_order_relative_mae": 1.8160403187706612e-08
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+ },
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+ {
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+ "all_records_finite": true,
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+ "decision_agreement": true,
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+ "each_order_improves_alpha_one": true,
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+ "event_positions_match_cpu": true,
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+ "finite_baseline": true,
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+ "horizon": 128,
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+ "residual_order_dispositions_match_cpu": true,
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+ "status": "PASS",
55
+ "status_matches_cpu": true,
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+ "stop_reasons_match_cpu": true,
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+ "third_order_material_sign_accuracy": 1.0,
58
+ "third_order_relative_mae": 5.018142262065098e-08
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+ }
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+ ],
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+ "worst_absolute_error": {
62
+ "absolute_error": 0.0007027303143045671,
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+ "actual": 3.997895366576603,
64
+ "expected": 3.9971926362622985,
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+ "field_path": "/0/summaries/3/final/mae_log_log_fit/slope",
66
+ "scaled_error": 0.00017577506409486522
67
+ },
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+ "worst_scaled_error": {
69
+ "absolute_error": 2.220477812985835e-16,
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+ "actual": 1.3713029311661655e-16,
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+ "expected": -8.491748818196697e-17,
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+ "field_path": "/2/records/3/order_3_residual",
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+ "scaled_error": 0.2220477812985835
74
+ }
75
+ },
76
+ "elapsed_seconds": 24.83867708593607,
77
+ "environment": {
78
+ "cuda_capability": [
79
+ 12,
80
+ 0
81
+ ],
82
+ "cuda_device": "NVIDIA RTX PRO 6000 Blackwell Server Edition MIG 2g.48gb",
83
+ "cuda_runtime": "13.0",
84
+ "dtype": "torch.float64",
85
+ "observed_tensor_device": "cuda:0",
86
+ "platform": "Linux-6.12.94-123.192.amzn2023.x86_64-x86_64-with-glibc2.41",
87
+ "python": "3.12.12",
88
+ "pytorch": "2.13.0+cu130",
89
+ "torch_threads": 1
90
+ },
91
+ "interpretation": {
92
+ "authority": "The complete local PyTorch 2.13 float64 CPU ladder remains authoritative.",
93
+ "claim_ceiling": "This run does not establish bitwise cross-platform identity, full 8192-horizon CUDA reproduction, or a fair CPU-versus-GPU speed comparison.",
94
+ "positive_result": "A pass means the bounded CUDA run preserves the frozen checkpoint and selected scientific decisions within the declared numerical tolerance."
95
+ },
96
+ "receipt_sha256": "25fde7e9ba3d3c758a097dec359a48ad009b95d12e23b2a1cecb1bc5fc061de6",
97
+ "schema": "sno.zerogpu-portability-baseline.v1",
98
+ "scope": "bounded 32,64,128-horizon CUDA portability control; not the 8192-step authority and not a performance comparison"
99
+ }