Prosecution Insights
Prosecution Insights
5 pending office actions • 1 client • 5 examiners • 5 art units • 0 of 5 (0%) have an AI response strategy ready • 15 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §103 only | 4 (80%) |
| §102 only | 1 (20%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| HOANG, PETER | 1 | 80.7% | +12.0% |
| SALVUCCI, MATTHEW D | 1 | 71.9% | +28.3% |
| LUDWIG, PETER L | 1 | 35.4% | +23.9% |
| DUONG, JOHNNYKHOI BAO | 1 | 66.1% | +30.0% |
| KWON, JUN | 1 | 39.4% | +47.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18661448 | TRANSCODING COMPRESSED TEXTURE SETS TO TEXTURES WITH A HARDWARE-SUPPORTED COMPRESSION FORMAT | HOANG, PETER | 55d |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18212629 | SYNTHETIC DATASET GENERATOR | LUDWIG, PETER L | 30d overdue |
| 17893038 | PERFORMING VISUAL RELATIONAL REASONING | DUONG, JOHNNYKHOI BAO | 4d overdue |
| 16581099 | DUAL RECURRENT NEURAL NETWORK ARCHITECTURE FOR MODELING LONG-TERM DEPENDENCIES IN SEQUENTIAL DATA | KWON, JUN | 2d overdue |
| 18661448 | TRANSCODING COMPRESSED TEXTURE SETS TO TEXTURES WITH A HARDWARE-SUPPORTED COMPRESSION FORMAT | HOANG, PETER | 55d |
| 18232279 | HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION | SALVUCCI, MATTHEW D | 79d |
| Client (Assignee) | Pending OAs |
|---|---|
| NVIDIA | 5 |
| Art Unit | Apps |
|---|---|
| 2616 | 1 |
| 2613 | 1 |
| 3627 | 1 |
| 2667 | 1 |
| 2127 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18661448 | TRANSCODING COMPRESSED TEXTURE SETS TO TEXTURES WITH A HARDWARE-SUPPORTED COMPRESSION FORMAT | Nvidia Corporation | HOANG, PETER | 2616 | §103 | Non-Final OA | 55d | Pending | May 10, 2024 |
| 18232279 | HIGH RESOLUTION TEXT-TO-3D CONTENT CREATION | Nvidia Corporation | SALVUCCI, MATTHEW D | 2613 | §103 | Non-Final OA | 79d | Pending | Aug 09, 2023 |
| 18212629 | SYNTHETIC DATASET GENERATOR | Nvidia Corporation | LUDWIG, PETER L | 3627 | §103 | Non-Final OA | 30d overdue | Pending | Jun 21, 2023 |
| 17893038 | PERFORMING VISUAL RELATIONAL REASONING | Nvidia Corporation | DUONG, JOHNNYKHOI BAO | 2667 | §102 | Non-Final OA | 4d overdue | Pending | Aug 22, 2022 |
| 16581099 | DUAL RECURRENT NEURAL NETWORK ARCHITECTURE FOR MODELING LONG-TERM DEPENDENCIES IN SEQUENTIAL DATA | Nvidia Corporation | KWON, JUN | 2127 | §103 | Non-Final OA | 2d overdue | Pending | Sep 24, 2019 |
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