Prosecution Insights
Last updated: April 19, 2026
Application No. 18/362,684

VERIFIABLE MLOPS TO TRAIN ML MODELS ON AUTONOMOUS ENVIRONMENTS

Non-Final OA §102
Filed
Jul 31, 2023
Examiner
CORUM JR, WILLIAM A
Art Unit
2433
Tech Center
2400 — Computer Networks
Assignee
Red Hat Inc.
OA Round
1 (Non-Final)
75%
Grant Probability
Favorable
1-2
OA Rounds
2y 6m
To Grant
99%
With Interview

Examiner Intelligence

Grants 75% — above average
75%
Career Allow Rate
350 granted / 464 resolved
+17.4% vs TC avg
Strong +29% interview lift
Without
With
+28.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
12 currently pending
Career history
476
Total Applications
across all art units

Statute-Specific Performance

§101
4.6%
-35.4% vs TC avg
§103
43.9%
+3.9% vs TC avg
§102
29.3%
-10.7% vs TC avg
§112
16.0%
-24.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 464 resolved cases

Office Action

§102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale , or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-2, 4, 6-9, 11, 13-16, 18, 20 are rejected under 35 U.S.C. 102 (a)(1) as being anticipated by Xiang (US Pub. 20210264321 A1) . Xiang discloses the following limitations: 1. A method comprising: providing a first machine learning model to a collaboration platform ( para. 15 ) ; receiving a second machine learning model from the collaboration platform that indicates the second machine learning model is based on the first machine learning model ( para. 16 ) ; testing, by a processing device, the second machine learning model using criteria corresponding to the first machine learning model to determine whether the second machine learning model is valid ( para. 18 ) ; and publishing the second machine learning model to a repository in response to determining that the second machine learning model is valid. ( para . 18-19 ) 2. The method of claim 1, wherein the first machine learning model is trained prior to being provided to the collaboration platform, the method further comprising: providing a manifest corresponding to the first machine learning model to the collaboration platform, wherein the manifest comprises one or more training parameters for a trainer system to retrain the first machine learning model to produce the second machine learning model. ( para . 44 ) 4. The method of claim 2, wherein the method is performed by a coordinator system, and wherein the coordinator system and the trainer system are controlled by separate entities. ( Fig. 1 and associated paras. ) 6. The method of claim 1, further comprising: in response to determining that the second machine learning model is invalid, sending an error message to the collaboration platform. ( para . 40 ) 7. The method of claim 1, wherein the method incorporates machine learning operations ( MLOps ), and wherein the collaboration platform is a GitHub platform that incorporates Git operations ( GitOps ). ( para . 31 ) Regarding claims 8-9, 11, 13-14, they are rejected as applied to claims 1-2, 4, 6-7 because a corresponding system would have been necessitated to carry forth the method steps of claims 1-2, 4, 6-7 . The applied prior art also discloses the corresponding architecture. ( Fig. 1 ) Regarding claims 15-16, 18, 20, they recites a computer program that when executed, performs the functional steps of method claims 1-2, 4, 6, and thus, rejected for the same rationale. ( para . 67, 70 ) Claim Objections Claims 3, 5, 10, 12, 17 and 19 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to FILLIN "Examiner name" \* MERGEFORMAT WILLIAM A CORUM JR whose telephone number is FILLIN "Phone number" \* MERGEFORMAT (303)297-4234 . The examiner can normally be reached FILLIN "Work Schedule?" \* MERGEFORMAT Mon. - Fri. 8 AM - 5 PM EST . Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, FILLIN "SPE Name?" \* MERGEFORMAT Jeffrey Pwu can be reached at FILLIN "SPE Phone?" \* MERGEFORMAT (571)272-6798 . The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. FILLIN "Examiner Stamp" \* MERGEFORMAT WILLIAM A. CORUM JR Primary Examiner Art Unit 2433 william.corum2@uspto.gov /WILLIAM A CORUM JR/ Primary Examiner, Art Unit 2433
Read full office action

Prosecution Timeline

Jul 31, 2023
Application Filed
Mar 04, 2026
Non-Final Rejection — §102 (current)

Precedent Cases

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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
75%
Grant Probability
99%
With Interview (+28.8%)
2y 6m
Median Time to Grant
Low
PTA Risk
Based on 464 resolved cases by this examiner. Grant probability derived from career allow rate.

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