Prosecution Insights
Prosecution Insights
40 pending office actions • 18 art units • 38 examiners • 7 of 40 (18%) have an AI response strategy ready • 21 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 |
|---|---|
| §101 only | 2 (5%) |
| §101 + other | 17 (42%) |
| §103 only | 11 (28%) |
| §112 only | 1 (2%) |
| Double-patenting only | 2 (5%) |
| Double-patenting + other | 1 (2%) |
| Multi-statute (no §101) | 6 (15%) |
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 |
|---|---|---|---|
| LAU, KAITLYN RENEE | 2 | 55.6% | +80.0% |
| FONSECA LOPEZ, FRANCINI ALVARENGA | 2 | 33.3% | +44.4% |
| BUKSA, CHRISTOPHER ALLEN | 1 | 73.4% | +20.4% |
| COLUCCI, MICHAEL C | 1 | 75.8% | +15.2% |
| PHAM, ANNIE | 1 | 100.0% | +0.0% |
| LIU, XIAO | 1 | 88.6% | +12.0% |
| ELISCA, PIERRE E | 1 | 90.2% | +6.3% |
| PATEL, JAYESH A | 1 | 83.6% | +5.0% |
| BAKER, CHARLOTTE M | 1 | 92.8% | +0.1% |
| TRAN, TAN H | 1 | 60.6% | +32.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18951101 | GENERATING TRAINING DATA USING A GENERATIVE NEURAL NETWORK | PHAM, ANNIE | — |
| 18945375 | UNSUPERVISED LEARNING OF OBJECT KEYPOINT LOCATIONS IN IMAGES THROUGH TEMPORAL TRANSPORT OR SPATIO-TEMPORAL TRANSPORT | LIU, XIAO | — |
| 18919257 | RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES | ELISCA, PIERRE E | — |
| 18780270 | CLASSIFYING INPUT EXAMPLES USING A COMPARISON SET | BAKER, CHARLOTTE M | — |
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 |
|---|---|---|---|
| 18025304 | CONTROLLING AGENTS USING RELATIVE VARIATIONAL INTRINSIC CONTROL | SIPPEL, MOLLY CLARKE | 44d overdue |
| 18277729 | NOWCASTING USING GENERATIVE NEURAL NETWORKS | ISHIZUKA, YOSHIHISA | 38d overdue |
| 17359427 | REINFORCEMENT LEARNING USING TARGET NEURAL NETWORKS | PELLETT, DANIEL T | 5d |
| 18105180 | CONTROLLING COMPUTING DEVICES USING HIERARCHICAL AGENTS | LAU, KAITLYN RENEE | 54d |
| 18986673 | ADAPTIVE VISUAL SPEECH RECOGNITION | COLUCCI, MICHAEL C | — |
| 18794786 | USING VISUAL LANGUAGE MODELS TO DETERMINE LOCATIONS OF IMAGE ELEMENTS WITHIN GRAPHICAL IMAGES | PATEL, JAYESH A | — |
| 18636971 | TRAINING A POPULATION OF ADVERSARIAL NEURAL NETWORKS TO IMPROVE A BASE NEURAL NETWORK | HARPER, ELIYAH STONE | — |
| 18424437 | METHODS AND SYSTEMS FOR CONSTRAINED REINFORCEMENT LEARNING | LAU, KAITLYN RENEE | — |
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 |
|---|---|---|---|
| 18105180 | CONTROLLING COMPUTING DEVICES USING HIERARCHICAL AGENTS | LAU, KAITLYN RENEE | 54d |
| 19111985 | TRAINING POLICY NEURAL NETWORKS IN SIMULATION USING SCENE SYNTHESIS MACHINE LEARNING MODELS | BUKSA, CHRISTOPHER ALLEN | — |
| 18986673 | ADAPTIVE VISUAL SPEECH RECOGNITION | COLUCCI, MICHAEL C | — |
| 18945375 | UNSUPERVISED LEARNING OF OBJECT KEYPOINT LOCATIONS IN IMAGES THROUGH TEMPORAL TRANSPORT OR SPATIO-TEMPORAL TRANSPORT | LIU, XIAO | — |
| 18668080 | CONTROLLING AGENTS BY TRANSFERRING SUCCESSOR FEATURES TO NEW TASKS | TRAN, TAN H | — |
| 18424437 | METHODS AND SYSTEMS FOR CONSTRAINED REINFORCEMENT LEARNING | LAU, KAITLYN RENEE | — |
| 18027571 | PREDICTING SYMMETRICAL PROTEIN STRUCTURES USING SYMMETRICAL EXPANSION TRANSFORMATIONS | FONSECA LOPEZ, FRANCINI ALVARENGA | — |
| 17849269 | DETERMINING A DISTRIBUTION OF ATOM COORDINATES OF A MACROMOLECULE FROM IMAGES USING AUTO-ENCODERS | FONSECA LOPEZ, FRANCINI ALVARENGA | — |
| Art Unit | Apps |
|---|---|
| 2148 | 2 |
| 2143 | 2 |
| 2121 | 2 |
| 2147 | 2 |
| 2125 | 2 |
| 2122 | 2 |
| 2123 | 2 |
| 3658 | 1 |
| 2662 | 1 |
| 2677 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19111985 | TRAINING POLICY NEURAL NETWORKS IN SIMULATION USING SCENE SYNTHESIS MACHINE LEARNING MODELS | BUKSA, CHRISTOPHER ALLEN | 3658 | §103 | Non-Final OA | — | Pending | Mar 14, 2025 |
| 18986673 | ADAPTIVE VISUAL SPEECH RECOGNITION | COLUCCI, MICHAEL C | — | §102§103 | Non-Final OA | — | Pending | Dec 18, 2024 |
| 18951101 | GENERATING TRAINING DATA USING A GENERATIVE NEURAL NETWORK | PHAM, ANNIE | 2662 | §103 | Non-Final OA | — | Pending | Nov 18, 2024 |
| 18945375 | UNSUPERVISED LEARNING OF OBJECT KEYPOINT LOCATIONS IN IMAGES THROUGH TEMPORAL TRANSPORT OR SPATIO-TEMPORAL TRANSPORT | LIU, XIAO | — | §103 | Non-Final OA | — | Pending | Nov 12, 2024 |
| 18919257 | RATING TASKS AND POLICIES USING CONDITIONAL PROBABILITY DISTRIBUTIONS DERIVED FROM EQUILIBRIUM-BASED SOLUTIONS OF GAMES | ELISCA, PIERRE E | — | DP | Non-Final OA | — | Pending | Oct 17, 2024 |
| 18794786 | USING VISUAL LANGUAGE MODELS TO DETERMINE LOCATIONS OF IMAGE ELEMENTS WITHIN GRAPHICAL IMAGES | PATEL, JAYESH A | 2677 | §101 | Non-Final OA | — | Pending | Aug 05, 2024 |
| 18780270 | CLASSIFYING INPUT EXAMPLES USING A COMPARISON SET | BAKER, CHARLOTTE M | 2664 | §102DP | Non-Final OA | — | Pending | Jul 22, 2024 |
| 18668080 | CONTROLLING AGENTS BY TRANSFERRING SUCCESSOR FEATURES TO NEW TASKS | TRAN, TAN H | — | §103 | Non-Final OA | — | Pending | May 17, 2024 |
| 18666682 | GENERATING PREDICTIONS FOR NON-STATIONARY DATA USING DISTRIBUTIONS OVER OUTPUT HEAD WEIGHTS | RUDY, ANDREW J | — | §112 | Non-Final OA | — | Pending | May 16, 2024 |
| 18636971 | TRAINING A POPULATION OF ADVERSARIAL NEURAL NETWORKS TO IMPROVE A BASE NEURAL NETWORK | HARPER, ELIYAH STONE | — | §102§103 | Non-Final OA | — | Pending | Apr 16, 2024 |
| 18623952 | GENERATING DISCRETE LATENT REPRESENTATIONS OF INPUT DATA ITEMS | WU, NICHOLAS S | — | DP | Non-Final OA | — | Pending | Apr 01, 2024 |
| 18424437 | METHODS AND SYSTEMS FOR CONSTRAINED REINFORCEMENT LEARNING | LAU, KAITLYN RENEE | — | §101§102§103§112 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18423239 | TRAINING A NEURAL NETWORK TO PERFORM AN ALGORITHMIC TASK USING A SELF-SUPERVISED LOSS | HICKS, AUSTIN JAMES | — | §103 | Non-Final OA | — | Pending | Jan 25, 2024 |
| 18405988 | REINFORCEMENT LEARNING USING EPISTEMIC VALUE ESTIMATION | LE, HUNG VAN | — | §101§103 | Non-Final OA | — | Pending | Jan 05, 2024 |
| 18401226 | PLANNING USING A JUMPY TRAJECTORY DECODER NEURAL NETWORK | KEATON, SHERROD L | — | §101Other | Non-Final OA | — | Pending | Dec 29, 2023 |
| 18536127 | GATED LINEAR NETWORKS | GERMICK, JOHNATHAN R | — | §101§102§103 | Non-Final OA | — | Pending | Dec 11, 2023 |
| 18286504 | MULTI-OBJECTIVE REINFORCEMENT LEARNING USING WEIGHTED POLICY PROJECTION | TAN, DAVID H | 2148 | §102§103 | Non-Final OA | — | Pending | Oct 11, 2023 |
| 18374447 | DISCRETE TOKEN PROCESSING USING DIFFUSION MODELS | ROY, SANCHITA | 2146 | §103 | Non-Final OA | — | Pending | Sep 28, 2023 |
| 18281711 | REINFORCEMENT LEARNING USING AN ENSEMBLE OF DISCRIMINATOR MODELS | TRAN, AMY NMN | 2126 | §103 | Non-Final OA | — | Pending | Sep 12, 2023 |
| 18277729 | NOWCASTING USING GENERATIVE NEURAL NETWORKS | ISHIZUKA, YOSHIHISA | 2857 | §101§103§112 | Final Rejection | 38d overdue | AI Ready | Aug 17, 2023 |
| 18275722 | IMITATION LEARNING BASED ON PREDICTION OF OUTCOMES | KARTHOLY, REJI P | 2143 | §101§103 | Non-Final OA | — | Pending | Aug 03, 2023 |
| 18275145 | TEMPORAL DIFFERENCE SCALING WHEN CONTROLLING AGENTS USING REINFORCEMENT LEARNING | SPRATT, BEAU D | 2143 | §103 | Final Rejection | — | AI Ready | Jul 31, 2023 |
| 18271611 | GENERATING NEURAL NETWORK OUTPUTS BY ENRICHING LATENT EMBEDDINGS USING SELF-ATTENTION AND CROSS-ATTENTION OPERATIONS | KIM, SEHWAN | 2129 | §103§112 | Non-Final OA | — | Pending | Jul 10, 2023 |
| 18260182 | PREDICTING EXCHANGE-CORRELATION ENERGIES OF ATOMIC SYSTEMS USING NEURAL NETWORKS | KADING, JOSHUA A | 2121 | §101§102§103§112 | Non-Final OA | — | Pending | Jun 30, 2023 |
| 18267363 | SOLVING MIXED INTEGER PROGRAMS USING NEURAL NETWORKS | ROHD, BENJAMIN MATTHEW | 2147 | §101§103 | Non-Final OA | — | Pending | Jun 14, 2023 |
| 18141273 | PRIVACY-SENSITIVE NEURAL NETWORK TRAINING USING DATA AUGMENTATION | HALES, BRIAN J | 2125 | §101§103§112 | Final Rejection | — | AI Ready | Apr 28, 2023 |
| 18027571 | PREDICTING SYMMETRICAL PROTEIN STRUCTURES USING SYMMETRICAL EXPANSION TRANSFORMATIONS | FONSECA LOPEZ, FRANCINI ALVARENGA | — | §101§103§112 | Non-Final OA | — | Pending | Mar 21, 2023 |
| 18027174 | SIMULATING PHYSICAL ENVIRONMENTS USING GRAPH NEURAL NETWORKS | HANN, JAY B | — | §102§103 | Non-Final OA | — | Pending | Mar 20, 2023 |
| 18026376 | PREDICTING PROTEIN STRUCTURES BY SHARING INFORMATION BETWEEN MULTIPLE SEQUENCE ALIGNMENTS AND PAIR EMBEDDINGS | BICKHAM, DAWN MARIE | — | §101§102 | Non-Final OA | — | Pending | Mar 15, 2023 |
| 18025304 | CONTROLLING AGENTS USING RELATIVE VARIATIONAL INTRINSIC CONTROL | SIPPEL, MOLLY CLARKE | 2122 | §101§112 | Final Rejection | 44d overdue | AI Ready | Mar 08, 2023 |
| 18105180 | CONTROLLING COMPUTING DEVICES USING HIERARCHICAL AGENTS | LAU, KAITLYN RENEE | 2148 | §101§103 | Final Rejection | 54d | Pending | Feb 02, 2023 |
| 18076978 | TRAINING CONDITIONAL COMPUTATION NEURAL NETWORKS USING REINFORCEMENT LEARNING | GOLAN, MATTHEW BRYCE | 2123 | §103§112 | Final Rejection | — | Pending | Dec 07, 2022 |
| 17960051 | COMPOSITIONAL GENERALIZATION FOR REINFORCEMENT LEARNING | KIM, HARRISON CHAN YOUNG | 2145 | §101§103 | Final Rejection | — | Pending | Oct 04, 2022 |
| 17959232 | NEURAL NETWORKS WITH TRANSFORMED ACTIVATION FUNCTION LAYERS | HADDAD, MAJD MAHER | 2125 | §103 | Final Rejection | 31d overdue | AI Ready | Oct 03, 2022 |
| 17798111 | LEARNING MACHINE LEARNING INCENTIVES BY GRADIENT DESCENT FOR AGENT COOPERATION IN A DISTRIBUTED MULTI-AGENT SYSTEM | HAN, KYU HYUNG | 2123 | §103 | Non-Final OA | — | Pending | Aug 08, 2022 |
| 17794797 | PLANNING FOR AGENT CONTROL USING LEARNED HIDDEN STATES | SMITH, KEVIN LEE | 2122 | §101§103 | Final Rejection | — | AI Ready | Jul 22, 2022 |
| 17849269 | DETERMINING A DISTRIBUTION OF ATOM COORDINATES OF A MACROMOLECULE FROM IMAGES USING AUTO-ENCODERS | FONSECA LOPEZ, FRANCINI ALVARENGA | 1685 | §101§102§103 | Final Rejection | — | Pending | Jun 24, 2022 |
| 17763924 | FAST SPARSE NEURAL NETWORKS | MCINTOSH, ANDREW T | 2144 | §103 | Non-Final OA | — | Pending | Mar 25, 2022 |
| 17359427 | REINFORCEMENT LEARNING USING TARGET NEURAL NETWORKS | PELLETT, DANIEL T | 2121 | §101§102§112 | Final Rejection | 5d | AI Ready | Jun 25, 2021 |
| 17054632 | GRAPH NEURAL NETWORK SYSTEMS FOR BEHAVIOR PREDICTION AND REINFORCEMENT LEARNING IN MULTPLE AGENT ENVIRONMENTS | LEY, SALLY THI | 2147 | §101§103 | Non-Final OA | — | Pending | Nov 11, 2020 |
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