Prosecution Insights
Last updated: July 17, 2026
Application No. 18/233,971

CLASSIFYING FAILURE MODES OF LARGE LANGUAGE MODELS (LLMS) FOR COMPUTER NETWORK ANALYTICS

Non-Final OA
Filed
Aug 15, 2023
Examiner
LEE, TSU-CHANG
Art Unit
2128
Tech Center
2100 — Computer Architecture & Software
Assignee
Cisco Technology Inc.
OA Round
1 (Non-Final)
72%
Grant Probability
Favorable
1-2
OA Rounds
7m
Est. Remaining
87%
With Interview

Examiner Intelligence

Grants 72% — above average
72%
Career Allowance Rate
308 granted / 425 resolved
+17.5% vs TC avg
Moderate +15% lift
Without
With
+14.7%
Interview Lift
resolved cases with interview
Typical timeline
3y 6m
Avg Prosecution
32 currently pending
Career history
454
Total Applications
across all art units

Statute-Specific Performance

§101
29.7%
-10.3% vs TC avg
§103
54.6%
+14.6% vs TC avg
§102
1.9%
-38.1% vs TC avg
§112
7.3%
-32.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 425 resolved cases

Prosecution Timeline

Aug 15, 2023
Application Filed
Apr 23, 2026
Non-Final Rejection mailed
Jul 13, 2026
Interview Requested

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12682290
Method, System, and Computer Program Product for Improving Machine Learning Models
1y 11m to grant Granted Jul 14, 2026
Patent 12676141
FINGERPRINTING DATA TO DETECT VARIANCES
3y 11m to grant Granted Jul 07, 2026
Patent 12675697
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, METHOD FOR MACHINE LEARNING, AND INFORMATION PROCESSING APPARATUS
3y 11m to grant Granted Jul 07, 2026
Patent 12675698
LEARNING APPARATUS AND METHOD
3y 4m to grant Granted Jul 07, 2026
Patent 12670394
TECHNIQUES FOR PRUNING NEURAL NETWORKS
5y 10m to grant Granted Jun 30, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
72%
Grant Probability
87%
With Interview (+14.7%)
3y 6m (~7m remaining)
Median Time to Grant
Low
PTA Risk
Based on 425 resolved cases by this examiner. Grant probability derived from career allowance rate.

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