Prosecution Insights
Last updated: April 19, 2026
Application No. 18/703,327

SYSTEMS AND METHODS FOR GENERATING SYNTHETIC DATA FROM A DATABASE OF NODES AND RELATIONSHIPS

Non-Final OA §102§103§112
Filed
Apr 19, 2024
Examiner
ADAMS, CARL
Art Unit
2627
Tech Center
2600 — Communications
Assignee
Lexset AI Inc.
OA Round
1 (Non-Final)
71%
Grant Probability
Favorable
1-2
OA Rounds
2y 6m
To Grant
88%
With Interview

Examiner Intelligence

Grants 71% — above average
71%
Career Allow Rate
556 granted / 780 resolved
+9.3% vs TC avg
Strong +17% interview lift
Without
With
+17.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
26 currently pending
Career history
806
Total Applications
across all art units

Statute-Specific Performance

§101
1.2%
-38.8% vs TC avg
§103
58.3%
+18.3% vs TC avg
§102
30.9%
-9.1% vs TC avg
§112
7.9%
-32.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 780 resolved cases

Office Action

§102 §103 §112
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 § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claim 62 is rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Specifically, claim 62 recites the limitation “… the metadata property…”.There is insufficient antecedent basis for this limitation in the claim. Appropriate correction is requited. 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 59, 61 – 67, 69, 71, 72, 74, 75, 77 and 78 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Zhao (US Pub. No. 2020/0401835 A1). As to claim 59, Zhao shows a computer-implemented method (Figs. 1, 3A and 9 and paras. 35, 38 and 135) and for generating a parametric representation (i.e. semantic scene graph, Figs. 6A and 6B and paras. 88 – 90), the method comprising: querying a database of nodes including a plurality of nodes (604a/604b, for example, Figs. 6A and 6B and paras. 65 and 88 – 93), wherein each node of the plurality of nodes represents an object associated with one or more parametric properties (Figs. 6A and 6B and paras. 88 – 90); evaluating a set of relationships for at least one subset of nodes of the database of nodes (Figs. 6A and 6B and para. 90); assigning a semantic category to at least one node of the plurality of nodes (Figs. 6A and 6B and para. 90); and extracting a parametric representation corresponding to the plurality of nodes and the set of relationships (Figs. 6A and 6B and para. 90); wherein a first node of the plurality of nodes is selected based at least in part on the semantic category (i.e. part of the horse, for example, Figs 6A and 6B and para. 90), and wherein a second node is selected based at least in part on a relationship of the second node with the first node (i.e. the horse, for example, Figs 6A and 6B and para. 90). As to claim 61, Zhao shows that the one or more parametric properties comprises a property of the object pertaining to a color property (para. 32) and a metadata property (i.e. relationship tag, for example, Fig. 6B and para. 90). As to claim 62, Zhao shows that the metadata property comprises a relationship tag (Fig. 6B and para. 90). As to claim 63, Zhao shows that the set of relationships comprises at least one of a relative position relationship (Fig. 6B and para. 90). As to claim 64, Zhao shows that evaluating the set of relationships further comprises: assigning one or more probabilities to a relationship subset of the set of relationships (para. 25). As to claim 65, Zhao shows that the set of relationships further comprises named edges within a graph schema, wherein each edge represents a relationship between two nodes of the plurality of nodes (i.e. boundary/positional relationship, Fig. 6B and paras. 32 and 90). As to claim 66, Zhao shows that the set of relationships is depicted as a plurality of link-fact type representations in an Object-Role Model (Fig. 6B and paras. 88 – 90). As to claim 67, Zhao shows that the parametric representation comprises a physical representation of a relative position of a first object and a second object in the 3D space, wherein the first object is a member of a specific subset of the semantic category (Fig. 6B and paras. 88 – 90). As to claim 69, Zhao shows a computer-implemented method (Figs. 1, 3A and 9 and paras. 35, 38 and 135) for generating a parametric representation (i.e. semantic scene graph, Figs. 6A and 6B and paras. 88 – 90), the method comprising: accessing at least one database of nodes including a plurality of nodes (604a/604b, for example, Figs. 6A and 6B and paras. 65, 88 – 90, 92 and 93), wherein the plurality of nodes is based on at least one semantic category (Figs. 6A and 6B and paras. 88 – 90), wherein each of the nodes represents an object, and wherein each object is associated with one or more parametric properties (Figs. 6A and 6B and paras. 88 – 90); selecting at least one relationship associated with the plurality of nodes based on at least one semantic category; running a query of the selected at least one relationship, wherein the query pertains to a relationship associating a first node with at least a second node of the plurality of nodes (Figs. 6A and 6B and paras. 65 and 88 – 93); and extracting at least one parametric representation, wherein the at least one parametric representation includes at least a first object associated with the first node and a second object associated with the second node (Figs. 6A and 6B and paras. 65, 88 – 90, 92 and 93). As to claim 71, Zhao shows generating a synthetic dataset based on at least one extracted parametric representation (Fig. 6C and para. 91). As to claim 72, Zhao shows rendering a synthetic data image based on at least one extracted parametric representation (Fig. 6C and para. 91). As to claim 74, Zhao shows that rendering a synthetic data image based on at least one extracted parametric representation further comprises rendering at least one photorealistic image (Fig. 6C and para. 91). As to claim 75, Zhao shows a computer-implemented method (Figs. 1, 3A and 9 and paras. 35, 38 and 135) for generating a parametric representation of space (i.e. semantic scene graph, Figs. 6A and 6B and paras. 88 – 90), the method comprising: accessing at least one database of nodes, the database of nodes organized by at least one semantic category (604a/604b, for example, Figs. 6A and 6B and paras. 65, 88 – 90, 92 and 93), wherein each of the nodes from the at least one database of nodes represents an object, and wherein the object is associated with one or more parametric properties (Figs. 6A and 6B and paras. 88 – 90); selecting the at least one semantic category; running a query of the selected at least one semantic category, the query containing a first node from the at least one semantic category and at least one relationship associated with the first node (Figs. 6A and 6B and paras. 65 and 88 – 93), wherein the relationship connects the first node to at least one second node; and extracting at least one parametric representation (Figs. 6A and 6B and paras. 65 and 88 – 93), wherein the at least one parametric representation includes 1) the selected one or more relationship; 2) a first object associated with one or more parametric properties of the first node, and 3) a second object associated with one or more parametric properties of the second node (Figs. 6A and 6B and paras. 65 and 88 – 93). As to claim 77, Zhao shows generating a synthetic dataset based on at least one extracted parametric representation (Fig. 6C and para. 91). As to claim 78, Zhao shows rendering a synthetic data image based on the at least one extracted parametric representation (Fig. 6C and para. 91). Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim 60 is rejected under 35 U.S.C. 103 as being unpatentable over Zhao in view of Murphy et al. (US Pub. No. 2020/0201514 A1). As to claim 60, Zhao shows that the parametric representation pertains to space (Figs. 6A and 6B and paras. 65 and 88 – 93) and includes a representation of at least one object corresponding to at least one node of the plurality of nodes in an environment (Figs. 6A and 6B and paras. 65 and 88 – 93). Zhao does not show that node of the plurality of nodes represents a dimension of a three-dimensional (3D) space. Murphy shows that a node represents a dimension of a three-dimensional (3D) space (para. 35). It would have been obvious to one of ordinary skill in the art at the time of filing to modify the teachings of Zhao with those of Murphy because designing the system in this way allows the device to provide enhanced convenience in AR configurations (para. 35). Claims 68, 70 and 76 are rejected under 35 U.S.C. 103 as being unpatentable over Zhao in view of Begley et al. (US Pub. No. 2009/0187542 A1). As to claim 68, Zhao does not show that the parametric representation comprises a configuration file. Begley shows that a parametric representation comprises a configuration file (para. 24). It would have been obvious to one of ordinary skill in the art at the time of filing to modify the teachings of Zhao with those of Begley because designing the system in this way allows the device to provide a metadata search interface (para. 24). As to claims 70 and 75, Zhao does not show storing the query of the selected at least one semantic category in a configuration file. Begley shows storing a query of a selected semantic category in a configuration file (para. 24). It would have been obvious to one of ordinary skill in the art at the time of filing to modify the teachings of Zhao with those of Begley because designing the system in this way allows the device to provide a metadata search interface (para. 24). Claim 73 is rejected under 35 U.S.C. 103 as being unpatentable over Zhao in view of Cai et al. (US Pub. No. 2021/0134028 A1). As to claim 73, Zhao does not show applying the at least one extracted parametric representation for randomly generating synthetic image sets. Cai shows applying at least one extracted parametric representation for randomly generating synthetic image sets (para. 88). It would have been obvious to one of ordinary skill in the art at the time of filing to modify the teachings of Zhao with those of Cai because designing the system in this way allows the device to generate training samples for a deep neural network (para. 88). CONCLUSION Any inquiry concerning this communication or earlier communications from the examiner should be directed to CARL ADAMS whose telephone number is (571)270-7448. The examiner can normally be reached Monday - Friday, 9AM - 5PM 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, Ke Xiao can be reached at 571-272-7776. 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. /CARL ADAMS/Examiner, Art Unit 2627
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Prosecution Timeline

Apr 19, 2024
Application Filed
Nov 11, 2025
Non-Final Rejection — §102, §103, §112 (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
71%
Grant Probability
88%
With Interview (+17.1%)
2y 6m
Median Time to Grant
Low
PTA Risk
Based on 780 resolved cases by this examiner. Grant probability derived from career allow rate.

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