Commit 89e60e48 authored by wanglch's avatar wanglch
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Pipeline #2484 canceled with stages
Master - 7 1/4 - 36"
Master Bath - 7 1/4 - 30"
Laundry - 4 3/4 - 36"
Bath - 7 1/4 - 24"
MUD - 7 - 36"
UTIL - 8 1/4 - 36"
DOWN BATH - 7 1/4 - 32"
BUT KIT - 6 3/4 - 30
PANTRY - 4 3/4 - 24
6 WEST - 32 9/8 - 32
6 WEST BATH 5" - 24"
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Master - 7 1/4 - 36"
Master Bath - 7 1/4 - 30"
Laundry - 4 3/4 - 36"
Bath - 7 1/4 - 24"
MUD - 7 - 36"
UTIL - 8 1/4 - 36"
DOWN BATH - 7 1/4 - 32"
BUT KIT - 6 3/4 - 30
PANTRY - 4 3/4 - 24
6 WEST - 32 9/8 - 32
6 WEST BATH 5" - 24"
\ No newline at end of file
Master - 7 1/4 - 36
Master Bath - 7 1/4 - 30
Laundry - 4 3/4 - 36
Bath - 7 1/4 - 24
MUD - 7 - 36
UTIL - 8 1/4 - 36
DWN BATH - 7 1/4 - 32
BUT KIT - 6 3/4 - 30
PANTRY - 4 3/4 - 24
6 WEST - 32 9/8 - 32
6 WEST BATH 5" - 24
\ No newline at end of file
Table 4: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 24 DISCOVERYWORLD tasks. Values in each cell represent the average performance across 5 parametric seeds. Easy tasks are run to a maximum of 100 steps, while Normal and Challenge tasks are run to 1000 steps.
| # | Topic | Task | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|---|
| 1 | Proteomics | Clustering | 0.87 | 0.20 | 0.20 | 0.80 | 0.00 | 0.00 | 0.90 | 0.40 | 1.00 |
| 2 | Chemistry | Exploring Combinations and Hill Climbing | 0.88 | 0.40 | 0.40 | 0.68 | 0.20 | 0.00 | 0.93 | 0.40 | 0.40 |
| 3 | Archaeology | Correlations | 0.88 | 0.40 | 0.60 | 0.55 | 0.20 | 0.00 | 0.93 | 0.40 | 0.60 |
| 4 | Reactor Lab | Regression | 0.87 | 1.00 | 1.00 | 0.70 | 0.60 | 0.40 | 0.90 | 0.00 | 0.40 |
| 5 | Plant Nutrients | Uncovering systems of rules | 0.82 | 0.00 | 0.00 | 0.87 | 0.40 | 0.00 | 0.93 | 0.60 | 0.40 |
| 6 | Space Sick | Open-ended discovery | 0.90 | 0.40 | 0.00 | 0.90 | 0.40 | 0.00 | 0.97 | 0.00 | 0.00 |
| 7 | Reactor Lab | Regression | 0.27 | 0.60 | 0.00 | 0.33 | 0.20 | 0.00 | 0.60 | 0.20 | 0.50 |
| 8 | Plant Nutrients | Uncovering systems of rules | 0.72 | 0.40 | 0.30 | 0.74 | 0.00 | 0.00 | 0.64 | 0.40 | 0.40 |
| 9 | Space Sick | Open-ended discovery | 0.46 | 0.20 | 0.00 | 0.46 | 0.00 | 0.05 | 0.55 | 0.20 | 0.05 |
Table 5: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 10 unit test tasks. Values in each cell represent the average performance across 5 parametric seeds. Unit tests tasks are run to a maximum of 100 steps.
| # | Unit Test Topic | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|
| 25 | Multi-turn dialog with an agent | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 26 | Measure an object with an instrument | 0.87 | 0.60 | 0.73 | 0.40 | 1.00 | 1.00 |
| 27 | Pick-and-place object | 0.90 | 0.80 | 0.80 | 0.60 | 1.00 | 1.00 |
| 28 | Pick-and-give object | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 29 | Read DiscoveryFeed posts | 1.00 | 1.00 | 0.90 | 0.80 | 1.00 | 1.00 |
| 30 | Move through doors | 0.58 | 0.20 | 0.25 | 0.00 | 0.30 | 0.00 |
| 31 | Using keys with doors | 0.69 | 0.20 | 0.54 | 0.00 | 0.69 | 0.00 |
| 32 | Navigate to a specific room in a house | 0.20 | 0.20 | 0.20 | 0.00 | 0.20 | 0.20 |
| 33 | Search an environment for an object | 0.80 | 0.80 | 0.60 | 0.60 | 1.00 | 1.00 |
| 34 | Interact with a moving agent | 0.60 | 0.20 | 0.53 | 0.00 | 0.53 | 0.20 |
| Average (Unit Tests) | 0.76 | 0.60 | 0.66 | 0.44 | 0.77 | 0.64 |
4.2 Baseline Agent Models
The baseline agents are described below, with model performance on Discovery tasks shown in Table 4, and performance on Unit Tests shown in Table 5. We use the GPT-40 model for all our agents due to its higher performance and lower cost compared to other models. For space we provide
\ No newline at end of file
Table 4: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 24 DISCOVERY WORLD tasks. Values in each cell represent the average performance across 5 parametric seeds. Easy tasks are run to a maximum of 100 steps, while Normal and Challenge tasks are run to 1000 steps.
| # | Topic | Task | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|---|
| 1 | Proteomics | Clustering | 0.87 | 0.20 | 0.20 | 0.80 | 0.00 | 0.00 | 0.90 | 0.40 | 1.00 |
| 2 | Chemistry | Exploring Combinations and Hill Climbing | 0.88 | 0.40 | 0.40 | 0.68 | 0.20 | 0.00 | 0.93 | 0.40 | 0.40 |
| 3 | Archaeology | Correlations | 0.88 | 0.40 | 0.60 | 0.55 | 0.20 | 0.00 | 0.93 | 0.40 | 0.60 |
| 4 | Reactor Lab | Regression | 0.87 | 1.00 | 1.00 | 0.70 | 0.60 | 0.40 | 0.90 | 0.00 | 0.40 |
| 5 | Plant Nutrients | Uncovering systems of rules | 0.82 | 0.00 | 0.00 | 0.87 | 0.40 | 0.00 | 0.93 | 0.60 | 0.40 |
| 6 | Space Sick | Open-ended discovery | 0.90 | 0.40 | 0.00 | 0.90 | 0.40 | 0.00 | 0.97 | 0.00 | 0.00 |
| 7 | Rocket Science | Multi-step measurements and applying formulas | 0.72 | 0.40 | 0.30 | 0.74 | 0.00 | 0.00 | 0.64 | 0.40 | 0.40 |
| 8 | Translation | Rosetta stone style linguistic discovery of alien language | 0.46 | 0.20 | 0.00 | 0.46 | 0.00 | 0.05 | 0.55 | 0.20 | 0.05 |
Table 5: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 10 unit test tasks. Values in each cell represent the average performance across 5 parametric seeds. Unit tests tasks are run to a maximum of 100 steps.
| # | Unit Test Topic | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|
| 25 | Multi-turn dialog with an agent | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 26 | Measure an object with an instrument | 0.87 | 0.60 | 0.73 | 0.40 | 1.00 | 1.00 |
| 27 | Pick-and-place object | 0.90 | 0.80 | 0.80 | 0.60 | 1.00 | 1.00 |
| 28 | Navigate to a specific room in a house | 0.55 | 0.20 | 0.20 | 0.20 | 0.20 | 0.20 |
| 29 | Search an environment for an object | 0.80 | 0.80 | 0.60 | 0.60 | 1.00 | 1.00 |
| 30 | Interact with a moving agent | 0.60 | 0.20 | 0.53 | 0.00 | 0.53 | 0.20 |
4.2 Baseline Agent Models
The baseline agents are described below, with model performance on Discovery tasks shown in Table 4, and performance on Unit Tests shown in Table 5. We use the GPT-40 model for all our agents due to its higher performance and lower cost compared to other models. For space we provide
\ No newline at end of file
Table 4: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 24 DISCOVERY WORLD tasks. Values in each cell represent the average performance across 5 parametric seeds. Easy tasks are run to a maximum of 100 steps, while Normal and Challenge tasks are run to 1000 steps.
| # | Topic | Task | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|---|
| 1 | Proteomics | Clustering | 0.87 | 0.20 | 0.20 | 0.80 | 0.00 | 0.00 | 0.90 | 0.40 | 1.00 |
| 2 | Chemistry | Exploring Combinations and Hill Climbing | 0.88 | 0.40 | 0.40 | 0.68 | 0.20 | 0.00 | 0.93 | 0.40 | 0.40 |
| 3 | Archaeology | Correlations | 0.88 | 0.40 | 0.60 | 0.55 | 0.20 | 0.00 | 0.93 | 0.40 | 0.60 |
| 4 | Reactor Lab | Regression | 0.87 | 1.00 | 1.00 | 0.70 | 0.60 | 0.40 | 0.90 | 0.00 | 0.40 |
| 5 | Plant Nutrients | Uncovering systems of rules | 0.82 | 0.00 | 0.00 | 0.87 | 0.40 | 0.00 | 0.93 | 0.60 | 0.40 |
| 6 | Space Sick | Open-ended discovery | 0.90 | 0.40 | 0.00 | 0.90 | 0.40 | 0.00 | 0.97 | 0.00 | 0.00 |
| 7 | Easy | Simple instrument | 0.27 | 0.60 | 0.00 | 0.33 | 0.20 | 0.00 | 0.60 | 0.20 | 0.50 |
| 8 | Normal | Instrument Use | 0.72 | 0.40 | 0.30 | 0.74 | 0.00 | 0.00 | 0.64 | 0.40 | 0.40 |
| 9 | Challenge | Correlation | 0.46 | 0.20 | 0.00 | 0.46 | 0.00 | 0.05 | 0.55 | 0.20 | 0.05 |
| 10 | Easy | Slope only | 0.42 | 0.00 | 0.40 | 0.44 | 0.00 | 0.10 | 0.38 | 0.00 | 0.20 |
| 11 | Normal | Linear regression | 0.44 | 0.00 | 0.20 | 0.49 | 0.00 | 0.00 | 0.51 | 0.00 | 0.00 |
| 12 | Challenge | Quadratic regression | 0.43 | 0.00 | 0.20 | 0.39 | 0.00 | 0.00 | 0.39 | 0.00 | 0.00 |
| 13 | Easy | Simplified rules | 0.80 | 0.20 | 0.20 | 0.70 | 0.20 | 0.20 | 0.60 | 0.00 | 0.00 |
| 14 | Normal | Presence rules | 0.91 | 0.60 | 0.00 | 0.84 | 0.40 | 0.00 | 0.56 | 0.00 | 0.00 |
| 15 | Challenge | Logical Rules | 0.89 | 0.40 | 0.00 | 0.73 | 0.40 | 0.00 | 0.62 | 0.00 | 0.00 |
| 16 | Easy | Multiple instruments | 0.78 | 0.60 | 0.00 | 0.68 | 0.40 | 0.10 | 0.80 | 1.00 | 0.60 |
| 17 | Normal | Novel instruments | 0.58 | 0.00 | 0.13 | 0.45 | 0.00 | 0.13 | 0.16 | 0.00 | 0.33 |
| 18 | Challenge | Novel instruments | 0.55 | 0.00 | 0.00 | 0.26 | 0.00 | 0.00 | 0.20 | 0.00 | 0.00 |
| 19 | Easy | Look-up variables | 0.33 | 0.00 | 0.00 | 0.53 | 0.00 | 0.07 | 0.13 | 0.40 | 0.00 |
| 20 | Normal | Measure 2 variables | 0.51 | 0.00 | 0.05 | 0.34 | 0.00 | 0.00 | 0.11 | 0.00 | 0.00 |
| 21 | Challenge | Measure 5 variables | 0.43 | 0.00 | 0.00 | 0.15 | 0.00 | 0.00 | 0.22 | 0.00 | 0.03 |
| 22 | Easy | Rosetta stone style linguistic discovery of alien language | 0.40 | 0.40 | 0.20 | 0.30 | 0.00 | 0.00 | 0.20 | 0.20 | 0.00 |
| 23 | Normal | Noun and verb | 0.20 | 0.00 | 0.00 | 0.68 | 0.40 | 0.00 | 0.84 | 0.40 | 0.00 |
| 24 | Challenge | Noun, adj., and verb | 0.49 | 0.00 | 0.00 | 0.55 | 0.20 | 0.05 | 0.15 | 0.00 | 0.00 |
Table 5: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 10 unit test tasks. Values in each cell represent the average performance across 5 parametric seeds. Unit tests tasks are run to a maximum of 100 steps.
| # | Unit Test Topic | ReACT | Plan+Execute | Hypothesizer |
|---|---|---|---|---|
| 25 | Multi-turn dialog with an agent | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 26 | Measure an object with an instrument | 0.87 | 0.60 | 0.73 | 0.40 | 1.00 | 1.00 |
| 27 | Pick-and-place object | 0.90 | 0.80 | 0.80 | 0.60 | 1.00 | 1.00 |
| 28 | Read DiscoveryFeed posts | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 29 | Move through doors | 0.58 | 0.20 | 0.25 | 0.00 | 0.30 | 0.00 |
| 30 | Using keys with doors | 0.69 | 0.20 | 0.54 | 0.00 | 0.69 | 0.00 |
| 31 | Navigate to a specific room in a house | 0.20 | 0.20 | 0.20 | 0.00 | 0.20 | 0.20 |
| 32 | Search an environment for an object | 0.80 | 0.80 | 0.60 | 0.60 | 1.00 | 1.00 |
| 33 | Interact with a moving agent | 0.60 | 0.20 | 0.53 | 0.00 | 0.53 | 0.20 |
| 34 | Average (Unit Tests) | 0.76 | 0.60 | 0.66 | 0.44 | 0.77 | 0.64 |
4.2 Baseline Agent Models
The baseline agents are described below, with model performance on Discovery tasks shown in Table 4, and performance on Unit Tests shown in Table 5. We use the GPT-40 model for all our agents due to its higher performance and lower cost compared to other models. For space we provide
\ No newline at end of file
Table 4: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 24 DISCOVERY WORLD tasks. Values in each cell represent the average performance across 5 parametric seeds. Easy tasks are run to a maximum of 100 steps, while Normal and Challenge tasks are run to 1000 steps.
| # | Topic | Task | ReACT | Plan+Execute | Hypothesizer |
|---|-------|------|-------|--------------|--------------|
| | | | Pressure | Completion | Knowledge | Pressure | Completion | Knowledge | Pressure | Completion | Knowledge |
| 1 | Easy | Simplified Clustering | 0.87 | 0.20 | 0.20 | 0.80 | 0.00 | 0.00 | 0.90 | 0.40 | 1.00 |
| 2 | Normal| Clustering (2D) | 0.88 | 0.40 | 0.40 | 0.68 | 0.20 | 0.00 | 0.93 | 0.40 | 0.40 |
| 3 | Challenge | Clustering (3D) | 0.88 | 0.40 | 0.60 | 0.55 | 0.20 | 0.00 | 0.93 | 0.40 | 0.60 |
| 4 | Easy | Single substances | 0.87 | 1.00 | 1.00 | 0.70 | 0.60 | 0.40 | 0.90 | 0.00 | 0.40 |
| 5 | Normal| Mix of 3 substances | 0.82 | 0.00 | 0.00 | 0.87 | 0.40 | 0.00 | 0.93 | 0.60 | 0.40 |
| 6 | Challenge | Mix of 4 substances | 0.90 | 0.40 | 0.00 | 0.90 | 0.40 | 0.00 | 0.97 | 0.00 | 0.00 |
| 7 | Easy | Simple instrument | 0.27 | 0.60 | 0.00 | 0.33 | 0.20 | 0.00 | 0.60 | 0.20 | 0.50 |
| 8 | Normal| Instrument Use | 0.72 | 0.40 | 0.30 | 0.74 | 0.00 | 0.00 | 0.64 | 0.40 | 0.40 |
| 9 | Challenge | Correlation | 0.46 | 0.20 | 0.00 | 0.46 | 0.00 | 0.05 | 0.55 | 0.20 | 0.05 |
| 10 | Easy | Regression | 0.42 | 0.00 | 0.40 | 0.44 | 0.00 | 0.10 | 0.38 | 0.00 | 0.20 |
| 11 | Normal| Linear regression | 0.44 | 0.00 | 0.20 | 0.49 | 0.00 | 0.00 | 0.51 | 0.00 | 0.00 |
| 12 | Challenge | Quadratic regression | 0.43 | 0.00 | 0.20 | 0.39 | 0.00 | 0.00 | 0.39 | 0.00 | 0.00 |
| 13 | Easy | Simplified rules | 0.80 | 0.20 | 0.20 | 0.70 | 0.20 | 0.20 | 0.60 | 0.00 | 0.00 |
| 14 | Normal| Presence rules | 0.91 | 0.60 | 0.00 | 0.84 | 0.40 | 0.00 | 0.56 | 0.00 | 0.00 |
| 15 | Challenge | Logical Rules | 0.89 | 0.40 | 0.00 | 0.73 | 0.40 | 0.00 | 0.62 | 0.00 | 0.00 |
| 16 | Easy | Open-ended discovery | 0.78 | 0.60 | 0.00 | 0.68 | 0.40 | 0.10 | 0.80 | 1.00 | 0.60 |
| 17 | Normal| Multiple instruments | 0.58 | 0.00 | 0.13 | 0.45 | 0.00 | 0.13 | 0.16 | 0.00 | 0.33 |
| 18 | Challenge | Novel instruments | 0.55 | 0.00 | 0.00 | 0.26 | 0.00 | 0.00 | 0.20 | 0.00 | 0.00 |
| 19 | Easy | Look-up variables | 0.33 | 0.00 | 0.00 | 0.53 | 0.00 | 0.07 | 0.13 | 0.40 | 0.00 |
| 20 | Normal| Measure 2 variables | 0.51 | 0.00 | 0.05 | 0.34 | 0.00 | 0.00 | 0.11 | 0.00 | 0.00 |
| 21 | Challenge | Measure 5 variables | 0.43 | 0.00 | 0.00 | 0.15 | 0.00 | 0.00 | 0.22 | 0.00 | 0.03 |
| 22 | Easy | Rosetta stone style linguistic discovery of alien language | 0.40 | 0.40 | 0.20 | 0.30 | 0.00 | 0.00 | 0.20 | 0.20 | 0.00 |
| 23 | Normal| Noun and verb | 0.20 | 0.00 | 0.00 | 0.68 | 0.40 | 0.00 | 0.84 | 0.40 | 0.00 |
| 24 | Challenge | Noun, adj., and verb | 0.49 | 0.00 | 0.00 | 0.55 | 0.20 | 0.05 | 0.15 | 0.00 | 0.00 |
| Average (Easy) | 0.59 | 0.38 | 0.25 | 0.56 | 0.18 | 0.11 | 0.56 | 0.28 | 0.34 |
| Average (Normal) | 0.63 | 0.18 | 0.14 | 0.64 | 0.18 | 0.02 | 0.58 | 0.23 | 0.19 |
| Average (Challenge) | 0.63 | 0.18 | 0.10 | 0.50 | 0.15 | 0.01 | 0.49 | 0.08 | 0.08 |
Table 5: Baseline model performance on each of the three scoring metrics (task completion, task process, explanatory knowledge discovery) across all 10 unit test tasks. Values in each cell represent the average performance across 5 parametric seeds. Unit tests tasks are run to a maximum of 100 steps.
| # | Unit Test Topic | ReACT | Plan+Execute | Hypothesizer |
|---|----------------|-------|--------------|--------------|
| | | Pressure | Completion | Knowledge | Pressure | Completion | Knowledge | Pressure | Completion | Knowledge |
| 25 | Multi-turn dialog with an agent | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 26 | Measure an object with an instrument | 0.87 | 0.60 | 0.73 | 0.40 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 27 | Pick-and-place object | 0.90 | 0.80 | 0.80 | 0.60 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 28 | Read DiscoveryFeed posts | 1.00 | 1.00 | 0.90 | 0.80 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 30 | Move through doors | 0.58 | 0.20 | 0.25 | 0.00 | 0.30 | 0.00 | 0.30 | 0.00 | 0.30 |
| 31 | Using keys with doors | 0.69 | 0.20 | 0.54 | 0.00 | 0.69 | 0.00 | 0.69 | 0.00 | 0.69 |
| 32 | Navigate to a specific room in a house | 0.20 | 0.20 | 0.20 | 0.00 | 0.20 | 0.20 | 0.20 | 0.20 | 0.20 |
| 33 | Search an environment for an object | 0.80 | 0.80 | 0.60 | 0.60 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| 34 | Interact with a moving agent | 0.60 | 0.20 | 0.53 | 0.00 | 0.53 | 0.20 | 0.53 | 0.20 | 0.53 |
| Average (Unit Tests) | 0.76 | 0.60 | 0.66 | 0.44 | 0.77 | 0.64 | 0.77 | 0.64 | 0.77 | 0.64 |
4.2 Baseline Agent Models
The baseline agents are described below, with model performance on Discovery tasks shown in Table 4, and performance on Unit Tests shown in Table 5. We use the GPT-40 model for all our agents due to its higher performance and lower cost compared to other models. For space we provide
\ No newline at end of file
Recently Issued Accounting Pronouncements
Recently Adopted Accounting Pronouncement
In November 2023, the Financial Accounting Standards Board, or FASB, issued a new accounting standard requiring disclosures of significant expenses in operating segments. We adopted this standard in our fiscal year 2025 annual report. Refer to Note 16 of the Notes to the Consolidated Financial Statements in Part IV, Item 15 of this Annual Report on Form 10-K for further information.
Recent Accounting Pronouncements Not Yet Adopted
In December 2023, the FASB issued a new accounting standard which includes new and updated income tax disclosures, including disaggregation of information in the rate reconciliation and income taxes paid. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
In November 2024, the FASB issued a new accounting standard requiring disclosures of certain additional expense information on an annual and interim basis, including, among other items, the amounts of purchases of inventory, employee compensation, depreciation and intangible asset amortization included within each income statement expense caption, as applicable. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
Note 2 - Business Combination
Termination of the Arm Share Purchase Agreement
In February 2022, NVIDIA and SoftBank Group Corp, or SoftBank, announced the termination of the Share Purchase Agreement whereby NVIDIA would have acquired Arm from SoftBank. The parties agreed to terminate it due to significant regulatory challenges preventing the completion of the transaction. We recorded an acquisition termination cost of $1.4 billion in fiscal year 2023 reflecting the write-off of the prepayment provided at signing.
Note 3 - Stock-Based Compensation
Stock-based compensation expense is associated with RSUs, PSUs, market-based PSUs, and our ESPP.
Consolidated Statements of Income include stock-based compensation expense, net of amounts capitalized into inventory and subsequently recognized to cost of revenue, as follows:
| | Jan 26, 2025 | Jan 28, 2024 | Jan 29, 2023 |
|----------------------|-------------|-------------|-------------|
| Cost of revenue | $178 | $141 | $138 |
| Research and development | 3,423 | 2,532 | 1,892 |
| Sales, general and administrative | 1,136 | 876 | 680 |
| Total | $4,737 | $3,549 | $2,710 |
Stock-based compensation capitalized in inventories was not significant during fiscal years 2025, 2024, and 2023.
\ No newline at end of file
Recently Issued Accounting Pronouncements
Recently Adopted Accounting Pronouncement
In November 2023, the Financial Accounting Standards Board, or FASB, issued a new accounting standard requiring disclosures of significant expenses in operating segments. We adopted this standard in our fiscal year 2025 annual report. Refer to Note 16 of the Notes to the Consolidated Financial Statements in Part IV, Item 15 of this Annual Report on Form 10-K for further information.
Recent Accounting Pronouncements Not Yet Adopted
In December 2023, the FASB issued a new accounting standard which includes new and updated income tax disclosures, including disaggregation of information in the rate reconciliation and income taxes paid. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
In November 2024, the FASB issued a new accounting standard requiring disclosures of certain additional expense information on an annual and interim basis, including, among other items, the amounts of purchases of inventory, employee compensation, depreciation and intangible asset amortization included within each income statement expense caption, as applicable. We expect to adopt this standard in our fiscal year 2028 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
Note 2 - Business Combination
Termination of the Arm Share Purchase Agreement
In February 2022, NVIDIA and SoftBank Group Corp, or SoftBank, announced the termination of the Share Purchase Agreement whereby NVIDIA would have acquired Arm from SoftBank. The parties agreed to terminate it due to significant regulatory challenges preventing the completion of the transaction. We recorded an acquisition termination cost of $1.4 billion in fiscal year 2023 reflecting the write-off of the prepayment provided at signing.
Note 3 - Stock-Based Compensation
Stock-based compensation expense is associated with RSUs, PSUs, market-based PSUs, and our ESPP.
Consolidated Statements of Income include stock-based compensation expense, net of amounts capitalized into inventory and subsequently recognized to cost of revenue, as follows:
| Year Ended | Jan 29, 2025 | Jan 28, 2024 | Jan 29, 2023 |
|------------|--------------|--------------|--------------|
| Cost of revenue | $178 | $141 | $138 |
| Research and development | 3,423 | 2,532 | 1,892 |
| Sales, general and administrative | 1,136 | 876 | 680 |
| Total | $4,737 | $3,549 | $2,710 |
Stock-based compensation capitalized in inventories was not significant during fiscal years 2025, 2024, and 2023.
\ No newline at end of file
Recently Issued Accounting Pronouncements
Recently Adopted Accounting Pronouncement
In November 2023, the Financial Accounting Standards Board, or FASB, issued a new accounting standard requiring disclosures of significant expenses in operating segments. We adopted this standard in our fiscal year 2025 annual report. Refer to Note 16 of the Notes to the Consolidated Financial Statements in Part IV, Item 15 of this Annual Report on Form 10-K for further information.
Recent Accounting Pronouncements Not Yet Adopted
In December 2023, the FASB issued a new accounting standard which includes new and updated income tax disclosures, including disaggregation of information in the rate reconciliation and income taxes paid. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
In November 2024, the FASB issued a new accounting standard requiring disclosures of certain additional expense information on an annual and interim basis, including, among other items, the amounts of purchases of inventory, employee compensation, depreciation and intangible asset amortization included within each income statement expense caption, as applicable. We expect to adopt this standard in our fiscal year 2028 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
Note 2 - Business Combination
Termination of the Arm Share Purchase Agreement
In February 2022, NVIDIA and SoftBank Group Corp, or SoftBank, announced the termination of the Share Purchase Agreement whereby NVIDIA would have acquired Arm from SoftBank. The parties agreed to terminate it due to significant regulatory challenges preventing the completion of the transaction. We recorded an acquisition termination cost of $1.4 billion in fiscal year 2023 reflecting the write-off of the prepayment provided at signing.
Note 3 - Stock-Based Compensation
Stock-based compensation expense is associated with RSUs, PSUs, market-based PSUs, and our ESPP.
Consolidated Statements of Income include stock-based compensation expense, net of amounts capitalized into inventory and subsequently recognized to cost of revenue, as follows:
| | Jan 26, 2025 | Jan 28, 2024 | Jan 29, 2023 |
|----------------------|-------------|-------------|-------------|
| Cost of revenue | $178 | $141 | $138 |
| Research and development | 3,423 | 2,532 | 1,892 |
| Sales, general and administrative | 1,136 | 876 | 680 |
| Total | $4,737 | $3,549 | $2,710 |
Stock-based compensation capitalized in inventories was not significant during fiscal years 2025, 2024, and 2023.
\ No newline at end of file
Recently Issued Accounting Pronouncements
Recently Adopted Accounting Pronouncement
In November 2023, the Financial Accounting Standards Board, or FASB, issued a new accounting standard requiring disclosures of significant expenses in operating segments. We adopted this standard in our fiscal year 2025 annual report. Refer to Note 16 of the Notes to the Consolidated Financial Statements in Part IV, Item 15 of this Annual Report on Form 10-K for further information.
Recent Accounting Pronouncements Not Yet Adopted
In December 2023, the FASB issued a new accounting standard which includes new and updated income tax disclosures, including disaggregation of information in the rate reconciliation and income taxes paid. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
In November 2024, the FASB issued a new accounting standard requiring disclosures of certain additional expense information on an annual and interim basis, including, among other items, the amounts of purchases of inventory, employee compensation, depreciation and intangible asset amortization included within each income statement expense caption, as applicable. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
Note 2 - Business Combination
Termination of the Arm Share Purchase Agreement
In February 2022, NVIDIA and SoftBank Group Corp, or SoftBank, announced the termination of the Share Purchase Agreement whereby NVIDIA would have acquired Arm from SoftBank. The parties agreed to terminate it due to significant regulatory challenges preventing the completion of the transaction. We recorded an acquisition termination cost of $1.4 billion in fiscal year 2023 reflecting the write-off of the prepayment provided at signing.
Note 3 - Stock-Based Compensation
Stock-based compensation expense is associated with RSUs, PSUs, market-based PSUs, and our ESPP.
Consolidated Statements of Income include stock-based compensation expense, net of amounts capitalized into inventory and subsequently recognized to cost of revenue, as follows:
| | Jan 29, 2023 | Jan 28, 2024 | Jan 29, 2023 |
|----------------------|-------------|-------------|-------------|
| Cost of revenue | $138 | $141 | $138 |
| Research and development | 1,892 | 2,532 | 3,423 |
| Sales, general and administrative | 680 | 876 | 1,136 |
| Total | $2,710 | $3,549 | $4,737 |
Stock-based compensation capitalized in inventories was not significant during fiscal years 2025, 2024, and 2023.
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Recently Issued Accounting Pronouncements
Recently Adopted Accounting Pronouncement
In November 2023, the Financial Accounting Standards Board, or FASB, issued a new accounting standard requiring disclosures of significant expenses in operating segments. We adopted this standard in our fiscal year 2025 annual report. Refer to Note 16 of the Notes to the Consolidated Financial Statements in Part IV, Item 15 of this Annual Report on Form 10-K for further information.
Recent Accounting Pronouncements Not Yet Adopted
In December 2023, the FASB issued a new accounting standard which includes new and updated income tax disclosures, including disaggregation of information in the rate reconciliation and income taxes paid. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
In November 2024, the FASB issued a new accounting standard requiring disclosures of certain additional expense information on an annual and interim basis, including, among other items, the amounts of purchases of inventory, employee compensation, depreciation and intangible asset amortization included within each income statement expense caption, as applicable. We expect to adopt this standard in our fiscal year 2026 annual report. We do not expect the adoption of this standard to have a material impact on our Consolidated Financial Statements other than additional disclosures.
Note 2 - Business Combination
Termination of the Arm Share Purchase Agreement
In February 2022, NVIDIA and SoftBank Group Corp, or SoftBank, announced the termination of the Share Purchase Agreement whereby NVIDIA would have acquired Arm from SoftBank. The parties agreed to terminate it due to significant regulatory challenges preventing the completion of the transaction. We recorded an acquisition termination cost of $1.4 billion in fiscal year 2023 reflecting the write-off of the prepayment provided at signing.
Note 3 - Stock-Based Compensation
Stock-based compensation expense is associated with RSUs, PSUs, market-based PSUs, and our ESPP.
Consolidated Statements of Income include stock-based compensation expense, net of amounts capitalized into inventory and subsequently recognized to cost of revenue, as follows:
| Year Ended | Jan 26, 2025 | Jan 28, 2024 | Jan 29, 2023 |
|------------|--------------|--------------|--------------|
| Cost of revenue | $178 | $141 | $138 |
| Research and development | 3,423 | 2,532 | 1,892 |
| Sales, general and administrative | 1,136 | 876 | 680 |
| Total | $4,737 | $3,549 | $2,710 |
Stock-based compensation capitalized in inventories was not significant during fiscal years 2025, 2024, and 2023.
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Executive Mansion,
Washington City,
January 15th, 1864
Major General Hitchcock, Commissioner of Exchanges, is authorized and directed to offer Brigadier General Trimble, now a prisoner of war in Fort McHenry, in exchange for Major White, who is held as a prisoner at Richmond. He is also directed to send forward the offer of exchange by Henry M. Warfield, Esq. of Baltimore, under a flag of truce, and give him a pass to City Point.
Abraham Lincoln
\ No newline at end of file
Executive Mansion,
Washington City,
January 15th, 1864
Major General Hitchcock, Commissioner of Exchanges, is authorized and directed to offer Brigadier General Trimble, now a prisoner of war in Fort McHenry, in exchange for Major White, who is held as a prisoner at Richmond. He is also directed to send forward the offer of exchange by Henry M. Warfield, Esq. of Baltimore, under a flag of truce, and give him a pass to City Point.
Abraham Lincoln
\ No newline at end of file
Executive Mansion,
Washington City,
January 15th, 1864
Major General Hitchcock, Commissioner of Exchanges, is authorized and directed to offer Brigadier General Trimble, now a prisoner of war in Fort McHenry, in exchange for Major White, who is held as a prisoner at Richmond. He is also directed to send forward the offer of exchange by Henry M. Warfield, Esq. of Baltimore, under a flag of truce, and give him a pass to City Point.
Abraham Lincoln
\ No newline at end of file
Executive Mansion,
Washington City,
January 15th, 1864
Major General Hitchcock, Commissioner of Exchanges, is authorized and directed to offer Brigadier General Trimble, now a prisoner of war in Fort McHenry, in exchange for Major White, who is held as a prisoner at Richmond. He is also directed to send forward the offer of exchange by Henry M. Warfield, Esq. of Baltimore, under a flag of truce, and give him a pass to City Point.
Abraham Lincoln
\ No newline at end of file
Executive Mansion,
Washington City,
January 15th, 1864
Major General Hitchcock, Commissioner of Exchanges, is authorized and directed to offer Brigadier General Trimble, now a prisoner of war in Fort McHenry, in exchange for Major White, who is held as a prisoner at Richmond. He is also directed to send forward the offer of exchange by Henry M. Warfield, Esq. of Baltimore, under a flag of truce, and give him a pass to City Point.
Abraham Lincoln
\ No newline at end of file
Proof. Let $S$ be the generating set associated with $D$ as described in Proposition 2.5. By the circulant diagonalization theorem, the spectrum of $G_R(D) = \Gamma(R, S)$ is the multiset $\{\lambda_g\}_{g \in R}$ where
$$\lambda_g = \sum_{s \in S} \zeta_n^{\psi(gs)} = \sum_{i=1}^{k} \left[ \sum_{s, Rs = I_i} \zeta_n^{\psi(gs)} \right].$$
We remark that by Corollary 2.7, if $s \in R$ such that $Rs = I_i = Rx_i$ then $s$ has a unique representation of the form $s = ux_i$ where $u \in (R/\text{Ann}_R(x_i))^\times$ and $\hat{u}$ is a fixed lift of $u$ to $R^\times$. With this presentation, we can write
$$\sum_{s, Rs = I_i} \zeta_n^{\psi(gs)} = \sum_{u \in (R/\text{Ann}_R(x_i))^\times} \zeta_n^{\psi(gux_i)} = \sum_{u \in (R/\text{Ann}_R(x_i))^\times} \zeta_n^{\psi_xi(gu)} = c(g, R/\text{Ann}_R(x_i)).$$
Here we recall that $\psi_xi$ is the induced linear functional on $R/\text{Ann}_R(x_i)$. We conclude that $\lambda_g = \sum_{i=1}^{k} c(g, R/\text{Ann}_R(x_i)).$ \hfill \qed
The following corollary is simple yet important for our future work on perfect state transfers on gcd-graphs.
**Corollary 4.17.** Suppose that $g' = ug$ for some $u \in R^\times$. Then $\lambda_g = \lambda_{g'}$.
**Acknowledgements**
We thank the Department of Mathematics and Computer Science at Lake Forest College for their generous financial support through an Overleaf subscription. We also thank Ján Mináč for his constant encouragement and support.
**References**
1. Reza Akhtar, Megan Boggess, Tiffany Jackson-Henderson, Isidora Jiménez, Rachel Karpman, Amanda Kinzel, and Dan Pritikin, *On the unitary Cayley graph of a finite ring*, Electron. J. Combin. 16 (2009), no. 1, Research Paper 117, 13 pages.
2. Milan Bašić, Aleksandar Ilić, and Aleksandar Stamenković, *Maximal diameter of integral circulant graphs*, Information and Computation 301 (2024), 105208.
3. Maria Chudnovsky, Michal Cizek, Logan Crew, Ján Mináč, Tung T. Nguyen, Sophie Spirkl, and Nguyễn Duy Tân, *On prime Cayley graphs*, arXiv:2401.06062, to appear in Journal of Combinatorics (2024).
4. Thomas Honold, *Characterization of finite frobenius rings*, Archiv der Mathematik 76 (2001), no. 6, 406–415.
5. Irving Kaplansky, *Elementary divisors and modules*, Transactions of the American Mathematical Society 66 (1949), no. 2, 464–491.
6. Walter Klotz and Torsten Sander, *Some properties of unitary Cayley graphs*, The Electronic Journal of Combinatorics 14 (2007), no. 1, R45, 12 pages.
7. Erich Lamprecht, *Allgemeine theorie der Gaußschen Summen in endlichen kommutativen Ringen*, Mathematische Nachrichten 9 (1953), no. 3, 149–196.
8. Ján Mináč, Tung T Nguyen, and Nguyen Duy Tân, *Isomorphic gcd-graphs over polynomial rings*, arXiv preprint arXiv:2411.01768 (2024).
9. ______, *On the gcd graphs over polynomial rings*, arXiv preprint arXiv:2409.01929 (2024).
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Proof. Let $S$ be the generating set associated with $D$ as described in Proposition 2.5. By the circulant diagonalization theorem, the spectrum of $G_R(D) = \Gamma(R, S)$ is the multiset $\{\lambda_g\}_{g \in R}$ where
$$\lambda_g = \sum_{s \in S} \zeta_n^{\psi(gs)} = \sum_{i=1}^{k} \left[ \sum_{s, Rs = I_i} \zeta_n^{\psi(gs)} \right].$$
We remark that by Corollary 2.7, if $s \in R$ such that $Rs = I_i = Rx_i$ then $s$ has a unique representation of the form $s = ux_i$ where $u \in (R/\text{Ann}_R(x_i))^\times$ and $\hat{u}$ is a fixed lift of $u$ to $R^\times$. With this presentation, we can write
$$\sum_{s, Rs = I_i} \zeta_n^{\psi(gs)} = \sum_{u \in (R/\text{Ann}_R(x_i))^\times} \zeta_n^{\psi(gux_i)} = \sum_{u \in (R/\text{Ann}_R(x_i))^\times} \zeta_n^{\psi_x_i(gu)} = c(g, R/\text{Ann}_R(x_i)).$$
Here we recall that $\psi_x_i$ is the induced linear functional on $R/\text{Ann}_R(x_i)$. We conclude that $\lambda_g = \sum_{i=1}^{k} c(g, R/\text{Ann}_R(x_i))$. \hfill \Box
The following corollary is simple yet important for our future work on perfect state transfers on gcd-graphs.
**Corollary 4.17.** Suppose that $g' = ug$ for some $u \in R^\times$. Then $\lambda_g = \lambda_{g'}$.
**Acknowledgements**
We thank the Department of Mathematics and Computer Science at Lake Forest College for their generous financial support through an Overleaf subscription. We also thank Ján Mináč for his constant encouragement and support.
**References**
1. Reza Akhtar, Megan Boggess, Tiffany Jackson-Henderson, Isidora Jiménez, Rachel Karpman, Amanda Kinzel, and Dan Pritikin, *On the unitary Cayley graph of a finite ring*, Electron. J. Combin. 16 (2009), no. 1, Research Paper 117, 13 pages.
2. Milan Bašić, Aleksandar Ilić, and Aleksandar Stamenković, *Maximal diameter of integral circulant graphs*, Information and Computation 301 (2024), 105208.
3. Maria Chudnovsky, Michal Cizek, Logan Crew, Ján Mináč, Tung T. Nguyen, Sophie Spirkl, and Nguyễn Duy Tấn, *On prime Cayley graphs*, arXiv:2401.06062, to appear in Journal of Combinatorics (2024).
4. Thomas Honold, *Characterization of finite frobenius rings*, Archiv der Mathematik 76 (2001), no. 6, 406–415.
5. Irving Kaplansky, *Elementary divisors and modules*, Transactions of the American Mathematical Society 66 (1949), no. 2, 464–491.
6. Walter Klotz and Torsten Sander, *Some properties of unitary Cayley graphs*, The Electronic Journal of Combinatorics 14 (2007), no. 1, R45, 12 pages.
7. Erich Lamprecht, *Allgemeine theorie der Gaußschen Summen in endlichen kommutativen Ringen*, Mathematische Nachrichten 9 (1953), no. 3, 149–196.
8. Ján Mináč, Tung T Nguyen, and Nguyen Duy Tấn, *Isomorphic gcd-graphs over polynomial rings*, arXiv preprint arXiv:2411.01768 (2024).
9. ______, *On the gcd graphs over polynomial rings*, arXiv preprint arXiv:2409.01929 (2024).
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