Prosecution Insights
Last updated: October 02, 2026

Examiner: PAULA, CESAR B

Tech Center 2100 • Art Units: 2100 2145 2177 2178

This examiner grants 34% of resolved cases

Analysis

Cesar B. Paula operates in Tech Center 2100 and Art Unit 2100, where he has handled 174 resolved cases. His allowance rate is 33.9%, which indicates a rigorous examination process. The median days to allowance for successful applications is 1647, suggesting a significantly longer prosecution timeline. The data also shows an interview lift of 8.2%.

This positive lift indicates that conducting an interview is associated with a higher probability of securing an allowance. Practitioners should consider this 8.2% lift when planning their strategy, as direct communication may help resolve issues. With 174 resolved cases, the data provides a clear indication of the examiner's tendencies. The combination of a 33.9% allowance rate and a 1647-day timeline suggests that securing a patent under this examiner requires patience and a strong technical case. Interviews appear to be a helpful tool for advancing prosecution. These resolutions offer a stable statistical basis for these observations.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

33.9%
Allow Rate
-21.1% vs TC avg
195
Total Applications
+8.2%
Interview Lift
1647
Avg Prosecution Days
Based on 174 resolved cases, 2023–2026

Rejection Statute Breakdown

12.7%
§101 Eligibility
18.2%
§102 Novelty
51.3%
§103 Obviousness
14.0%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
17673764 MACHINE LEARNING SYSTEM AND METHOD, INTEGRATION SERVER, INFORMATION PROCESSING APPARATUS, PROGRAM, AND INFERENCE MODEL CREATION METHOD Final Rejection FUJIFILM Corporation
17448126 DEVICE AND METHOD FOR TRAINING A NORMALIZING FLOW USING SELF-NORMALIZED GRADIENTS Non-Final OA Robert Bosch GmbH
17448653 MACHINE LEARNING COMPONENT UPDATE REPORTING IN FEDERATED LEARNING Non-Final OA QUALCOMM Incorporated
17810006 USING SECURE AND RELIABLE BENEFIT-ANALYSIS MATCHMAKING TO SELECT FEDERATED LEARNING CANDIDATES Non-Final OA International Business Machines Corporation
17547122 PERFORMING AUTOMATED TUNING OF HYPERPARAMETERS IN A FEDERATED LEARNING ENVIRONMENT Non-Final OA International Business Machines Corporation
17643016 TRAINING ALGORITHMS FOR ONLINE MACHINE LEARNING Final Rejection International Business Machines Corporation
17521440 PARALLEL PROCESSING FOR COMBINATORIAL OPTIMIZATION Non-Final OA NVIDIA Corporation
17477370 TRAINING OBJECT DETECTION MODELS USING TRANSFER LEARNING Non-Final OA NVIDIA Corporation
17726308 SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY DATA STATISTIC VALIDATION Non-Final OA Dell Products L.P.
17506895 PREDICTION OF IMPACT TO DATA CENTER BASED ON INDIVIDUAL DEVICE ISSUE Non-Final OA Dell Products L.P.

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