Prosecution Insights
Last updated: October 02, 2026
Application No. 19/290,478

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM FOR DECISION MAKING SUPPORT

Non-Final OA §DOUBLEPATENT
Filed
Aug 05, 2025
Priority
May 12, 2023 — nonprovisional of PCTJP2023017858 +1 more
Examiner
LEROUX, ETIENNE PIERRE
Art Unit
Tech Center
Assignee
NEC Corporation
OA Round
1 (Non-Final)
88%
Grant Probability
Favorable
1-2
OA Rounds
1y 4m
Est. Remaining
94%
With Interview

Examiner Intelligence

Grants 88% — above average
88%
Career Allowance Rate
988 granted / 1116 resolved
+28.5% vs TC avg
Moderate +5% lift
Without
With
+5.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
16 currently pending
Career history
1131
Total Applications
across all art units

Statute-Specific Performance

§101
8.0%
-32.0% vs TC avg
§103
52.9%
+12.9% vs TC avg
§102
18.6%
-21.4% vs TC avg
§112
13.4%
-26.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1116 resolved cases

Office Action

§DOUBLEPATENT
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 Status Claims 1-6 are pending. Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. Claims 1-2 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1 and 2 of U.S. Patent No. 12,405,981 in view of Oyamada in view of Cama (US 2015/0347901) in view of Brockett (US 2023/0205980). This Application An information processing apparatus comprising: a memory storing instructions; and at least one processor configured to execute the instructions to perform processes comprising: 18/554,311 An information processing apparatus comprising: a memory storing instructions; and at least one processor configured to execute the instructions to perform processes comprising: This Application an acquisition process of acquiring a target text; 18/554,311 an acquisition process of acquiring a target text; This Application an extraction process of extracting a document related to the target text 18/554,311 an extraction process of extracting a document related to the target text Application 18/554,311 discloses elements of the claimed invention as noted but does not disclose acquiring author information, publication year, and reliability information for each document; a quality evaluation process of determining quality ranks of documents based on the author information and reliability information; However, Cama discloses: Cama [0019] The written content generation system 10 obtains data from one or more data sources 12. The data sources 12 may include, for example, a list 14 of one or more trusted websites 16 on the Internet. Such trusted websites 16 may include, for example, websites that have been determined to be reliable sources of information by a community of users (e.g., an analyst community). Each trusted website 16 may be scored, rated, and/or prioritized by a ranking system 18 for reliability and/or trustworthiness based on a number of ranking factors 20, at least some of which may be set by a user. The ranking factors 20 may include, for example, total page views for the website, expertise of the author(s) of the data presented on the website, comments regarding the data presented on the website, crowd-sourced ratings of the website, number of times the data presented on the website has been shared, reputation of the entity associated with the website (e.g., based on Forrester Reports, McKinsey Reports, etc.), other crowd-sourcing metrics, and/or the like. It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to modify application 18/554,311 to obtain above limitation based on the teachings of Cama for the purpose of generating written content from knowledge management systems, see [0015] Application 18/554,311 discloses elements of the claimed invention as noted but does not disclose a rewriting process of rewriting the target text with use of the high- quality documents selected based on the quality ranks. However, 18/554,311 discloses a rewriting process of rewriting the target text with use of the document, Furthermore, 18/554,311 does not disclose a rewriting process of rewriting the target text with use of the high- quality documents selected based on the quality ranks. However, Brockett discloses: Brockett claim 7, The system of claim 1, wherein updating the source document comprises: displaying at least a part of the generated output for the source application; receiving a user indication to approve the generated output for the source application; and in response to receiving the user indication to approve the generated output, updating the source document using the generated output for the source document. It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to modify application 18/554,311 to obtain above limitation based on the teachings of Brockett for the purpose of multidirectional generative editing, see abstract. This Application a generation process of generating a text corresponding to the rewritten target text with use of a machine learning model trained to generate a text based on an input text; 18/554,311 a generation process of generating a text corresponding to the rewritten target text with use of a machine learning model trained to generate a text based on an input text; This Application a calculation process of calculating reliability of the text generated in the generation process; and 18/554,311 a calculation process of calculating reliability of the text generated in the generation process; and This Application an output process of outputting a result obtained by adding quality rank information of the high-quality documents and specialty information of authors to the generated text, 18/554,311 an output process of outputting a result obtained by adding information identifying the document to the text generated in the generation process, and of outputting the reliability of the text generated in the generation process This Application wherein the calculation process includes referring to a result obtained by inputting, to the machine learning model, the text generated in the generation process, the document extracted in the extraction process, and the target text acquired in the acquisition process. 18/554,311 wherein the calculation process includes referring to a result obtained by inputting, to the machine learning model, the text generated in the generation process, the document extracted in the extraction process, and the target text acquired in the acquisition process. Claim 2 This Application The information processing apparatus according to claim 1, wherein the processes further comprise a determination process of determining whether the reliability exceeds a threshold, in a case where the reliability has been determined to exceed the threshold, the output process includes outputting the result obtained by adding the quality rank information and the specialty information as an optimized result. 18/554,311 The information processing apparatus according to claim 1, wherein the processes further comprise a determination process of determining whether the reliability exceeds a threshold, in a case where the reliability has been determined to exceed the threshold, the output process includes outputting the result obtained by adding the quality rank information and the specialty information as an optimized result. Claim 3 A double-patenting rejection is not possible. Claim 4 A double-patenting rejection is not possible. Claim 5 Claim 5 is rejected similarly to claim 1. Claim 6 Claim 6 is rejected similarly to claim 1. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Xu 2026/0120021 [0059] In step 204, a cue word is generated based on the target text, the cue word is input into an LLM model carried on the agent, the LLM model performs logical reasoning based on the cue word, splits the operation intent into at least one sub-task, and perform a task orchestration for the at least one sub-task to generate a target text sequence including a task description text corresponding to each of the at least one sub-task. Somasundaram (US 2026/0050732) [0103] Additionally, as shown in FIG. 10, the document transformation system 106 includes the query generation manager 1010. The query generation manager 1010 manages the generation of queries for input to a language machine learning model to generate a transformed document. In particular, the query generation manager 1010 utilizes query generation language machine learning model 1012 to iteratively refine a target text prompt and generate a text transformation prompt for a language machine learning model 1014. In some embodiments, the query generation manager 1010 iteratively improves the text transformation prompt utilizing Beysian methods. In one or more embodiments, the query generation manager 1010 generates a text transformation prompt which is used by the document transformation manager 1016 to populate placeholders within the target document based on the document hierarchy and named entity classifications. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ETIENNE PIERRE LEROUX whose telephone number is (571)272-4022. The examiner can normally be reached M-F 8:00 am to 4:30 pm. 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, Apu Mofiz can be reached at 571 272 4080. 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. /ETIENNE P LEROUX/Primary Examiner of Art Unit 2161
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Prosecution Timeline

Aug 05, 2025
Application Filed
Aug 20, 2026
Non-Final Rejection mailed — §DOUBLEPATENT (current)

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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
88%
Grant Probability
94%
With Interview (+5.3%)
2y 6m (~1y 4m remaining)
Median Time to Grant
Low
PTA Risk
Based on 1116 resolved cases by this examiner. Grant probability derived from career allowance rate.

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