Prosecution Insights
Last updated: July 17, 2026
Application No. 18/301,368

VOICE-BASED AUGMENTED REALITY LOCOMOTION

Non-Final OA
Filed
Apr 17, 2023
Examiner
MUELLER, PAUL JOSEPH
Art Unit
Tech Center
Assignee
International Business Machines Corporation
OA Round
1 (Non-Final)
77%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allowance Rate
106 granted / 137 resolved
+17.4% vs TC avg
Strong +32% interview lift
Without
With
+31.5%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
18 currently pending
Career history
162
Total Applications
across all art units

Statute-Specific Performance

§101
2.9%
-37.1% vs TC avg
§103
93.6%
+53.6% vs TC avg
§102
1.1%
-38.9% vs TC avg
§112
1.1%
-38.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 137 resolved cases

Prosecution Timeline

Apr 17, 2023
Application Filed
Nov 24, 2023
Response after Non-Final Action
Jun 01, 2026
Non-Final Rejection mailed (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12651121
LARGE LANGUAGE MODEL-BASED METHOD FOR TRANSLATING A PROMPT INTO A PLANNING PROBLEM
2y 7m to grant Granted Jun 09, 2026
Patent 12632673
UTILIZING EMBEDDING-BASED CLAIM-RELATION GRAPHS FOR EFFICIENT SYNTOPICAL READING OF CONTENT COLLECTIONS
2y 11m to grant Granted May 19, 2026
Patent 12632648
GENERATIVE LARGE LANGUAGE MODEL (LLM) DECENTRALIZED NETWORK
2y 7m to grant Granted May 19, 2026
Patent 12632651
AUTOMATIC LANGUAGE MODEL (LM) INPUT OPTIMIZATION USING TEXTUAL GRADIENTS
2y 7m to grant Granted May 19, 2026
Patent 12633305
END-TO-END SPEECH DIARIZATION VIA ITERATIVE SPEAKER EMBEDDING
2y 5m to grant Granted May 19, 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
77%
Grant Probability
99%
With Interview (+31.5%)
2y 9m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 137 resolved cases by this examiner. Grant probability derived from career allowance rate.

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