Prosecution Insights
Prosecution Insights
19 pending office actions • 11 art units • 19 examiners • 0 of 19 (0%) have an AI response strategy ready • 56 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 |
|---|---|
| §101 only | 3 (16%) |
| §101 + other | 3 (16%) |
| §103 only | 7 (37%) |
| Double-patenting only | 1 (5%) |
| Double-patenting + other | 2 (11%) |
| Multi-statute (no §101) | 3 (16%) |
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 |
|---|---|---|---|
| CLOTHIER, MATTHEW MORRIS | 1 | 83.3% | +20.0% |
| KUDDUS, DANIEL A | 1 | 71.3% | +43.3% |
| HASAN, SYED HAROON | 1 | 81.5% | +15.6% |
| GONZALES, VINCENT | 1 | 78.4% | +11.3% |
| JACKSON, DANIELLE MARIE | 1 | 80.8% | +27.0% |
| KATZ, DYLAN MICHAEL | 1 | 86.2% | +21.4% |
| ALCANTARA-RAMOS, EMILIO | 1 | 50.0% | +100.0% |
| CASS, JEAN PAUL | 1 | 72.9% | +25.3% |
| CHANNAVAJJALA, SRIRAMA T | 1 | 74.4% | +32.9% |
| RAMESH, TIRUMALE K | 1 | 27.7% | +24.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | — |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18102053 | USING EMBEDDINGS, GENERATED USING ROBOT ACTION MODELS, IN CONTROLLING ROBOT TO PERFORM ROBOTIC TASK | BLUST, JASON W | 3d overdue |
| 17337376 | STABLE AND EFFICIENT TRAINING OF ADVERSARIAL MODELS BY AN ITERATED UPDATE OPERATION OF SECOND ORDER OR HIGHER | CHUANG, SU-TING | 41d |
| 19366240 | Real-Time Multi-Modal Artificial Intelligence Agent | HASAN, SYED HAROON | — |
| 19173425 | TRANSFORMER DIFFUSION FOR ROBOTIC TASK LEARNING | KATZ, DYLAN MICHAEL | — |
| 19095710 | GENERAL-PURPOSE SYSTOLIC ARRAY | ALCANTARA-RAMOS, EMILIO | — |
| 19112153 | ROBOT CONTROL BASED ON NATURAL LANGUAGE (NL) INPUT AND BASED ON DESCRIPTOR(S) OF OBJECT(S) THAT ARE PRESENT IN ENVIRONMENT WITH ROBOT AND RELEVANT TO THE NL INPUT | CASS, JEAN PAUL | — |
| 19074205 | VERIFYING QUERIES USING NEURAL NETWORKS | CHANNAVAJJALA, SRIRAMA T | — |
| 19070417 | TRAINING NEURAL NETWORKS USING WEIGHT NORM REGULARIZATIONS | RAMESH, TIRUMALE K | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | — |
| 19417113 | GENERATIVE NEURAL NETWORKS WITH INVISIBLE TOKENS | KUDDUS, DANIEL A | — |
| 19366240 | Real-Time Multi-Modal Artificial Intelligence Agent | HASAN, SYED HAROON | — |
| 19359142 | ATTENTION NEURAL NETWORKS WITH PARTIAL POSITION ENCODING | GONZALES, VINCENT | — |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | — |
| 19173425 | TRANSFORMER DIFFUSION FOR ROBOTIC TASK LEARNING | KATZ, DYLAN MICHAEL | — |
| 19095710 | GENERAL-PURPOSE SYSTOLIC ARRAY | ALCANTARA-RAMOS, EMILIO | — |
| 19112153 | ROBOT CONTROL BASED ON NATURAL LANGUAGE (NL) INPUT AND BASED ON DESCRIPTOR(S) OF OBJECT(S) THAT ARE PRESENT IN ENVIRONMENT WITH ROBOT AND RELEVANT TO THE NL INPUT | CASS, JEAN PAUL | — |
| Art Unit | Apps |
|---|---|
| 2154 | 3 |
| 2146 | 2 |
| 2614 | 1 |
| 2124 | 1 |
| 3657 | 1 |
| 3666 | 1 |
| 2121 | 1 |
| 3658 | 1 |
| 3656 | 1 |
| 2132 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | 2614 | §103 | Final Rejection | — | Pending | Dec 16, 2025 |
| 19417113 | GENERATIVE NEURAL NETWORKS WITH INVISIBLE TOKENS | KUDDUS, DANIEL A | 2154 | §103 | Final Rejection | — | Pending | Dec 11, 2025 |
| 19366240 | Real-Time Multi-Modal Artificial Intelligence Agent | HASAN, SYED HAROON | 2154 | §101§102§103§112 | Final Rejection | — | Pending | Oct 22, 2025 |
| 19359142 | ATTENTION NEURAL NETWORKS WITH PARTIAL POSITION ENCODING | GONZALES, VINCENT | 2124 | §103 | Final Rejection | — | Pending | Oct 15, 2025 |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | 3657 | §102DP | Non-Final OA | — | Pending | May 06, 2025 |
| 19173425 | TRANSFORMER DIFFUSION FOR ROBOTIC TASK LEARNING | KATZ, DYLAN MICHAEL | — | §102§103 | Non-Final OA | — | Pending | Apr 08, 2025 |
| 19095710 | GENERAL-PURPOSE SYSTOLIC ARRAY | ALCANTARA-RAMOS, EMILIO | — | §103§112Other | Non-Final OA | — | Pending | Mar 31, 2025 |
| 19112153 | ROBOT CONTROL BASED ON NATURAL LANGUAGE (NL) INPUT AND BASED ON DESCRIPTOR(S) OF OBJECT(S) THAT ARE PRESENT IN ENVIRONMENT WITH ROBOT AND RELEVANT TO THE NL INPUT | CASS, JEAN PAUL | 3666 | §101 | Non-Final OA | — | Pending | Mar 14, 2025 |
| 19074205 | VERIFYING QUERIES USING NEURAL NETWORKS | CHANNAVAJJALA, SRIRAMA T | 2154 | §101§103§112 | Non-Final OA | — | Pending | Mar 07, 2025 |
| 19070417 | TRAINING NEURAL NETWORKS USING WEIGHT NORM REGULARIZATIONS | RAMESH, TIRUMALE K | 2121 | §103 | Non-Final OA | — | Pending | Mar 04, 2025 |
| 19059132 | GENERATING IMAGES USING NEURAL NETWORKS | SALTARELLI, DOMINIC D | — | DP | Non-Final OA | — | Pending | Feb 20, 2025 |
| 18918590 | MACHINE LEARNING METHODS AND APPARATUS FOR ROBOTIC MANIPULATION AND THAT UTILIZE MULTI-TASK DOMAIN ADAPTATION | JOS, BASIL T | 3658 | §101 | Non-Final OA | — | Pending | Oct 17, 2024 |
| 18899829 | GENERATING A MODEL FOR AN OBJECT ENCOUNTERED BY A ROBOT | GOEBEL, EMMA ROSE | — | §103§112DP | Non-Final OA | — | Pending | Sep 27, 2024 |
| 18462628 | TRANSISTOR-LEVEL SYNTHESIS | MILLER, DANIEL E | — | §103 | Non-Final OA | — | Pending | Sep 07, 2023 |
| 18176937 | Robot Collaboration via Cloud Server | CAIN, AARON G | 3656 | §103 | Final Rejection | 2d overdue | Pending | Mar 01, 2023 |
| 18102053 | USING EMBEDDINGS, GENERATED USING ROBOT ACTION MODELS, IN CONTROLLING ROBOT TO PERFORM ROBOTIC TASK | BLUST, JASON W | 2132 | §102§103 | Final Rejection | 3d overdue | Pending | Jan 26, 2023 |
| 18008838 | TRAINING AN ACTION SELECTION SYSTEM USING RELATIVE ENTROPY Q-LEARNING | YI, HYUNGJUN B | 2146 | §101§103 | Final Rejection | — | Pending | Dec 07, 2022 |
| 17918365 | LEARNING OPTIONS FOR ACTION SELECTION WITH META-GRADIENTS IN MULTI-TASK REINFORCEMENT LEARNING | DAY, ROBERT N | 2122 | §103 | Final Rejection | 103d overdue | Pending | Oct 12, 2022 |
| 17337376 | STABLE AND EFFICIENT TRAINING OF ADVERSARIAL MODELS BY AN ITERATED UPDATE OPERATION OF SECOND ORDER OR HIGHER | CHUANG, SU-TING | 2146 | §101 | Non-Final OA | 41d | Pending | Jun 02, 2021 |
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