USPTO Art Unit 2128 Prosecution Statistics

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19325796HIERARCHICAL CASCADE ARCHITECTURE OF SEMANTIC FINGERPRINTING OPERATIONS FOR AGENT ROUTINGSeptember 2025January 2026Allow400NoNo
19319633THRESHOLD-BASED ADAPTIVE ONTOLOGY AND KNOWLEDGE GRAPH MODIFICATION USING GENERATIVE ARTIFICIAL INTELLIGENCESeptember 2025March 2026Allow600NoNo
19279103DYNAMIC ARTIFICIAL INTELLIGENCE AGENT ORCHESTRATION USING A LARGE LANGUAGE MODEL GATEWAY ROUTERJuly 2025September 2025Allow200NoNo
19265958HYBRID LANGUAGE MODEL AND DETERMINISTIC PROCESSING FOR UNCERTAINTY ANALYSISJuly 2025December 2025Allow510YesNo
19236733ADAPTIVELY TRAINING OF NEURAL NETWORKS VIA AN INTELLIGENT LEARNING MANAGEMENT SYSTEMJune 2025November 2025Allow510NoNo
19202824Method And System For AI-Based Generation Of Therapeutic Meal PlansMay 2025November 2025Allow620YesNo
19197004DOCUMENT GENERATION PLATFORM FOR GENERATIVE AI ASSISTED DOCUMENT GENERATIONMay 2025November 2025Allow710YesNo
19196702ANOMALY DETECTION METHOD FOR MODEL OUTPUTSMay 2025February 2026Allow920YesNo
19062786HALLUCINATION MITIGATION THROUGH MODULAR MODEL ENSEMBLESFebruary 2025February 2026Allow1120YesNo
19058730SYSTEMS AND METHODS FOR TRAINING MULTIMODAL SELF-SUPERVISED MODELSFebruary 2025July 2025Allow510YesNo
19052538FAULT DETECTION METHOD FOR REFRIGERATION UNITS BASED ON IMPROVED DEEP LEARNING MODELFebruary 2025August 2025Allow620NoNo
19019273INTEGRATED CIRCUIT TO IMPLEMENT SPIKING NEURAL NETWORKJanuary 2025January 2026Allow1220NoNo
19009560ACCELERATED TRAINING OF NEURAL NETWORKS WITH REGULARIZATION LINKSJanuary 2025March 2025Allow200NoNo
19000716SYSTEMS AND METHODS FOR PARALLEL EXPLORATION OF A HYPERPARAMETER SEARCH SPACEDecember 2024November 2025Allow1130YesNo
19000685SYSTEMS AND METHODS FOR PARALLEL EXPLORATION OF A HYPERPARAMETER SEARCH SPACEDecember 2024July 2025Allow710YesNo
18923064ARTIFICIAL INTELLIGENCE TECHNIQUES UTILIZING A GENERATIVE RELATIONAL NETWORKOctober 2024April 2025Allow620NoNo
18923458METHOD AND SYSTEM FOR LOCAL COMPRESSION OF ARTIFICIAL INTELLIGENCE MODELOctober 2024March 2025Allow510YesNo
18918265DISTRIBUTED NONLINEAR SUPPORT VECTOR MACHINESOctober 2024March 2025Allow510YesNo
18885396INTERFACE ACCESS PROCESSING METHOD, COMPUTER DEVICE AND STORAGE MEDIUMSeptember 2024November 2025Allow1430NoNo
18823415RICH MEDIA PRESENTATION OF RECOMMENDATIONS IN GENERATIVE MEDIASeptember 2024September 2025Allow1220NoNo
18823403INFORMATION PROCESSING METHOD AND APPARATUSSeptember 2024July 2025Allow1120NoNo
18798724SYSTEMS AND METHODS FOR INTERFACING WITH A SERVER OVER A NETWORKAugust 2024October 2025Allow1531YesNo
18797304Machine Learning Platform for Polygenic ModelsAugust 2024August 2025Abandon1220YesNo
18795796METHOD AND SYSTEM FOR CONTENT GENERATION AND MANAGEMENT FOR ELECTRONIC RESUME GENERATIONAugust 2024February 2026Abandon1940YesNo
18833603Method, System, and Computer Program Product for Improving Machine Learning ModelsJuly 2024March 2026Allow1930YesNo
18770545Cross-Model Format ComparisonJuly 2024March 2026Allow2030NoYes
18760545METHOD AND DEVICE FOR UROTHELIAL CARCINOMA DETECTIONJuly 2024October 2025Allow1621YesYes
18752163NEURAL NETWORK METHOD AND APPARATUSJune 2024December 2025Allow1830YesNo
18749496Modular Large Language Model (LLM) Guided Tree-of-Thought SystemJune 2024September 2025Allow1530YesNo
18745562DOMAIN-AWARE LARGE LANGUAGE MODEL GOVERNANCEJune 2024January 2026Allow1940YesYes
18739449System, Method, and Computer Program Product for Time-Based Ensemble Learning Using Supervised and Unsupervised Machine Learning ModelsJune 2024December 2025Allow1820YesNo
18738927UTILIZING A CLINICAL-PHENOMICS CAUSAL DISCOVERY FRAMEWORK TO GENERATE CAUSAL DISCOVERY PREDICTIONSJune 2024August 2025Allow1440YesNo
18737595MESSAGE SUGGESTIONSJune 2024February 2026Allow2020YesNo
18736250SYSTEM AND METHOD FOR DEVICE IDENTIFICATION AND UNIQUENESSJune 2024April 2025Allow1010NoNo
18736189SYSTEMS AND METHODS FOR TRANSLATION COMMENTS FLOWBACKJune 2024August 2025Allow1520YesNo
18732052METHODS AND SYSTEMS FOR NEURAL ARCHITECTURE SEARCHJune 2024February 2026Allow2130NoNo
18672589Predicting Likelihood of Request Classifications Using Deep LearningMay 2024November 2024Allow610NoNo
18668376RECOMMENDATION PLATFORM FOR SKILL DEVELOPMENTMay 2024December 2025Allow1930NoNo
18648707AUTOMATED SYSTEMS FOR MACHINE LEARNING MODEL DEVELOPMENT, ANALYSIS, AND REFINEMENTApril 2024October 2025Allow1820YesNo
18648250APPARATUS (AND/OR METHOD) OF TRAINING A MACHINE-LEARNING MODEL TO GENERATE DETERMINATIONS USING MISMATCHED-CHANNEL SIGNALSApril 2024June 2025Allow1320YesNo
18642614ENHANCED VALIDITY MODELING USING MACHINE-LEARNING TECHNIQUESApril 2024October 2025Allow1710NoNo
18641217SYSTEMS AND METHODS FOR TRANSFORMING ELECTROCARDIOGRAM IMAGES FOR USE IN ONE OR MORE MACHINE LEARNING MODELSApril 2024April 2025Allow1220YesNo
18635916FILLING FIELD ON USER INTERFACE BASED ON CONTENT OF MESSAGEApril 2024October 2025Abandon1820YesNo
18632180HIGH-DENSITY NEUROMORPHIC COMPUTING ELEMENTApril 2024February 2025Allow1010NoNo
18615189Computer-implemented or hardware-implemented method of entity identification, a computer program product and an apparatus for entity identificationMarch 2024October 2025Allow1920NoNo
18612881ACCELERATING NEURAL NETWORKS IN HARDWARE USING INTERCONNECTED CROSSBARSMarch 2024January 2026Allow2220YesNo
18601269APPARATUS AND METHOD FOR TRAINING A TUNABLE DATA STRUCTURE TO PREDICT INTERNAL RIBOSOME ENTRY SITE (IRES) ACTIVITYMarch 2024August 2024Allow510YesNo
18690017MODEL GRADIENT UPDATE METHOD AND DEVICEMarch 2024April 2025Allow1310NoNo
18589404Robot Utility and Interface DeviceFebruary 2024September 2025Allow1930YesNo
18587242TARGETED INCREMENTAL GROWTH WITH CONTINUAL LEARNING IN DEEP NEURAL NETWORKSFebruary 2024September 2024Allow710NoNo
18586080GENERATING AND DISPLAYING CUSTOMIZED AVATARS IN MEDIA OVERLAYSFebruary 2024January 2025Allow1110NoNo
18582425CASCADING COMMAND SET ENGINEERINGFebruary 2024January 2026Abandon2330YesNo
18444050INTENTION RECOGNITION METHOD AND APPARATUS, READABLE MEDIUM, AND ELECTRONIC DEVICEFebruary 2024September 2025Allow1930NoNo
18431472Method, Device and Equipment for Selecting Key Geological Parameters of a To-Be-Prospected BlockFebruary 2024October 2024Abandon820YesNo
18415684NEURAL PROCESSING UNIT AND METHOD OF OPERATION THEREOFJanuary 2024August 2025Allow1940NoNo
18394205SYSTEMS AND METHODS FOR BLIND MULTIMODAL LEARNINGDecember 2023February 2025Allow1410NoNo
18544625SYSTEM AND METHOD FOR INTEGRATING USER FEEDBACK INTO WEBSITE BUILDING SYSTEM SERVICESDecember 2023November 2024Allow1110NoNo
18541901NATURAL LANGUAGE PROCESSING SYSTEM AND METHOD FOR DOCUMENTSDecember 2023October 2024Allow1010NoNo
18530909NEURAL PROCESSING UNIT BEING OPERATED ACCORDING TO DYNAMICALLY CALIBRATED PHASE OF CLOCK SIGNALDecember 2023June 2024Allow610NoNo
18525523METHODS AND SYSTEMS FOR IMPLEMENTING DYNAMIC-ACTION SYSTEMS IN REAL-TIME DATA STREAMSNovember 2023December 2025Allow2530YesNo
18525824SYSTEMS, METHODS, KITS, AND APPARATUSES FOR USING ARTIFICIAL INTELLIGENCE FOR INSTRUCTING SMART MACHINES IN VALUE CHAIN NETWORKSNovember 2023March 2026Abandon2740YesNo
18517658METHODS AND SYSTEMS FOR PROVIDING SUBTITLESNovember 2023October 2024Allow1110NoNo
18510755COUNTER BASED RESISTIVE PROCESSING UNIT FOR PROGRAMMABLE AND RECONFIGURABLE ARTIFICIAL-NEURAL-NETWORKSNovember 2023July 2025Allow2010NoNo
18499621Personalized Model Training for Users Using Data LabelsNovember 2023August 2025Abandon2230YesNo
18497893PRIVATE ARTIFICIAL INTELLIGENCE (AI) MODEL OF A USER FOR USE BY AN AUTONOMOUS PERSONAL COMPANIONOctober 2023April 2025Allow1810YesNo
18495902MACHINE LEARNING FOR NUTRIENT QUANTITY ESTIMATION IN SCORE-BASED DIETS AND METHODS OF USE THEREOFOctober 2023April 2025Abandon1810NoNo
18487756RECOMMENDATION PLATFORM FOR SKILL DEVELOPMENTOctober 2023September 2025Allow2330YesNo
18378649METHOD FOR GENERATING PROGRAMMABLE ACTIVATION FUNCTION AND APPARATUS USING THE SAMEOctober 2023March 2025Allow1710NoNo
18377796SYSTEMS AND METHODS FOR CREATING AND MANAGING SMART HYPERLINKSOctober 2023October 2024Allow1210NoNo
18377455FRONTEND AUDIO CAPTURE FOR VIDEO CONFERENCING APPLICATIONSOctober 2023July 2025Allow2230YesNo
18476679CLASSIFYING TYPES OF SENSITIVE EVENTS FOR DATA LOSS PREVENTIONSeptember 2023September 2024Allow1110YesNo
18475125DOCUMENT PARSER AND GENERATORSeptember 2023August 2024Allow1110YesNo
18461473FLEET AND ASSET MANAGEMENT FOR EDGE COMPUTING OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS DEPLOYED FROM CLOUD TO EDGESeptember 2023June 2024Allow921YesNo
18451153SYSTEMS AND METHODS FOR STRUCTURE AND HEADER EXTRACTIONAugust 2023October 2024Allow1420YesNo
18450365COLLECTING OBSERVATIONS FOR MACHINE LEARNINGAugust 2023January 2026Allow2920YesNo
18449970ESTIMATING OUTPUT CONFIDENCE FOR BLACK-BOX APIAugust 2023November 2024Allow1510NoNo
18362508LARGE LANGUAGE MODEL REGULATION SYSTEMS AND METHODSJuly 2023January 2025Abandon1830YesNo
18360129ONLINE PROBABILISTIC INVERSE OPTIMIZATION SYSTEM, ONLINE PROBABILISTIC INVERSE OPTIMIZATION METHOD, AND ONLINE PROBABILISTIC INVERSE OPTIMIZATION PROGRAMJuly 2023March 2026Allow3130NoNo
18226858System, Method, and Computer Program Product for Implementing a Hybrid Deep Neural Network Model to Determine a Market StrategyJuly 2023May 2024Allow1010NoNo
18226091MULTI-VOLTAGE CONTACTORS, CONTROLS, AND RELATED METHODSJuly 2023July 2025Allow2411NoNo
18271301System, Method, and Computer Program Product for Dynamic Node Classification in Temporal-Based Machine Learning Classification ModelsJuly 2023September 2024Allow1420YesNo
18348052CONTEXTUAL BANDIT FOR MULTIPLE MACHINE LEARNING MODELS FOR CONTENT DELIVERYJuly 2023November 2024Allow1630YesNo
18271231METHOD FOR ANALYZING OUTPUT OF NEURAL NETWORK, AND SYSTEM THEREFORJuly 2023March 2026Allow3200NoNo
18334949ARTIFICIAL INTELLIGENCE BASED PROBLEM DESCRIPTIONSJune 2023September 2025Abandon2820YesNo
18333998ACTIVE LEARNING VIA A SAMPLE CONSISTENCY ASSESSMENTJune 2023September 2025Abandon2710NoNo
18333870DEEP LEARNING WITH JUDGMENTJune 2023August 2023Allow200NoNo
18209188TRADE PLATFORM WITH REINFORCEMENT LEARNINGJune 2023August 2024Allow1510NoNo
18207043PROCESSING MACHINE LEARNING ATTRIBUTESJune 2023April 2025Allow2250YesNo
18329418TRANSPOSING NEURAL NETWORK MATRICES IN HARDWAREJune 2023September 2024Allow1510NoNo
18206050ENABLING SECURE AUTO-FILLING OF INFORMATIONJune 2023September 2024Allow1620YesNo
18205441FOLDABLE DISPLAY APPARATUS AND METHOD OF MANUFACTURING THE SAMEJune 2023June 2024Allow1310NoNo
18327527IMPROVING A DEEP NEURAL NETWORK WITH NODE-TO-NODE RELATIONSHIP REGULARIZATIONJune 2023February 2024Allow810NoNo
18324453DETERMINING JOURNALIST RISK OF A DATASET USING POPULATION EQUIVALENCE CLASS DISTRIBUTION ESTIMATIONMay 2023April 2025Abandon2330YesNo
18320803SYSTEMS AND METHODS FOR IMPLEMENTING AN INTELLIGENT MACHINE LEARNING OPTIMIZATION PLATFORM FOR MULTIPLE TUNING CRITERIAMay 2023March 2026Allow3420YesNo
18320507SYSTEMS AND METHODS FOR PRESENTING WEB APPLICATION CONTENTMay 2023August 2024Allow1420YesNo
18197093NEUROMORPHIC PROCESSOR AND OPERATING METHOD THEREOFMay 2023August 2025Allow2711YesNo
18196963AUTOMATIC MACHINE LEARNING MODEL GENERATIONMay 2023December 2025Abandon3140YesNo
18144678QUBIT SURFACE ALLOCATION SYSTEMMay 2023February 2026Allow3300NoNo
18313072Processing Sensor Data with Multi-Model System on Resource-Constrained DeviceMay 2023March 2025Abandon2320YesNo
18310658AUTOMATED SYSTEMS FOR MACHINE LEARNING MODEL DEVELOPMENT, ANALYSIS, AND REFINEMENTMay 2023October 2023Allow520YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2128.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
356
Examiner Affirmed
250
(70.2%)
Examiner Reversed
106
(29.8%)
Reversal Percentile
36.2%
Lower than average

What This Means

With a 29.8% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
805
Allowed After Appeal Filing
266
(33.0%)
Not Allowed After Appeal Filing
539
(67.0%)
Filing Benefit Percentile
54.2%
Higher than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 33.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.

Strategic Recommendations

Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.

Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Art Unit 2128 - Prosecution Statistics Summary

Executive Summary

Art Unit 2128 is part of Group 2120 in Technology Center 2100. This art unit has examined 8,079 patent applications in our dataset, with an overall allowance rate of 64.3%. Applications typically reach final disposition in approximately 43 months.

Comparative Analysis

Art Unit 2128's allowance rate of 64.3% places it in the 21% percentile among all USPTO art units. This art unit has a significantly lower allowance rate than most art units at the USPTO.

Prosecution Patterns

Applications in Art Unit 2128 receive an average of 2.32 office actions before reaching final disposition (in the 78% percentile). The median prosecution time is 43 months (in the 8% percentile).

Strategic Considerations

When prosecuting applications in this art unit, consider the following:

  • The art unit's allowance rate suggests a more challenging examination environment compared to the USPTO average.
  • With more office actions than average, plan for multiple rounds of prosecution.
  • The median prosecution time is longer than average and should be factored into your continuation and client communication strategies.
  • Review individual examiner statistics within this art unit to identify examiners with particularly favorable or challenging prosecution patterns.

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.