Prosecution Insights
Last updated: May 29, 2026
Application No. 18/415,643

REDUCING HIGH-RISK BLOCKCHAIN TRANSACTION BEHAVIOR ASSOCIATED WITH FIAT CURRENCY ACCOUNTS

Non-Final OA §101
Filed
Jan 17, 2024
Examiner
CHAKRAVARTI, ARUNAVA
Art Unit
3692
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Mastercard International Incorporated
OA Round
3 (Non-Final)
9%
Grant Probability
At Risk
3-4
OA Rounds
1y 9m
Est. Remaining
22%
With Interview

Examiner Intelligence

Grants only 9% of cases
9%
Career Allowance Rate
38 granted / 409 resolved
-42.7% vs TC avg
Moderate +13% lift
Without
With
+13.1%
Interview Lift
resolved cases with interview
Typical timeline
4y 1m
Avg Prosecution
30 currently pending
Career history
448
Total Applications
across all art units

Statute-Specific Performance

§101
14.5%
-25.5% vs TC avg
§103
81.1%
+41.1% vs TC avg
§102
0.6%
-39.4% vs TC avg
§112
0.4%
-39.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 409 resolved cases

Office Action

§101
DETAILED ACTION Status of Claims 1. This office action is in response to RCE filed 1/8/2026. 2. Claims 1-20 are pending. 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 . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 1/8/2025 has been entered. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-20 Claims 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. Step 1: Claims 1-7 are directed to a system; claims 8-14 are directed to method; claims 15-20 are directed to a computer readable storage medium – each of which is one of the statutory categories of inventions. Step 2A: A claim is eligible at revised Step 2A unless it recites a judicial exception and the exception is not integrated into a practical application of the application. Prong 1: Prong One of Step 2A evaluates whether the claim recites a judicial exception (an abstract idea enumerated in the 2019 PEG, a law of nature, or a natural phenomenon). Groupings of Abstract Ideas: I. MATHEMATICAL CONCEPTS A. Mathematical Relationships B. Mathematical Formulas or Equations C. Mathematical Calculations II. CERTAIN METHODS OF ORGANIZING HUMAN ACTIVITY A. Fundamental Economic Practices or Principles (including hedging, insurance, mitigating risk) B. Commercial or Legal Interactions (including agreements in the form of contracts; legal obligations; advertising, marketing or sales activities or behaviors; business relations) C. Managing Personal Behavior or Relationships or Interactions between People (including social activities, teaching, and following rules or instructions) III. MENTAL PROCESSES. Concepts performed in the human mind (including an observation, evaluation, judgment, opinion). See MPEP 2106.04 (a) (2) Abstract Idea Groupings [R-10.2019] Independent claim 1, 8 and 15 recite the limitations – receive transaction metadata associated with an on-ramp transaction between a fiat currency account associated with a financial institution and virtual asset provider; identify using the metadata, publicly available blockchain data, a plurality of blockchain transactions that occur between a first time equal to the date-time value and a second time equal to a defined time window that is after the date-time value, the publicly available blockchain transaction data comprising a timestamp and an amount of a corresponding blockchain transaction; for each of the identified plurality of blockchain transactions: generate a link-score representing a likelihood that the blockchain transaction corresponds to the on-ramp transaction, where generating the link- score comprises: assigning a base link-score to the blockchain transaction, the base link-score being a same base link-score assigned to each of the other of the identified plurality of blockchain transactions; when an amount of blockchain transaction is within common VASP batch patterns or is inconsistent with a defined standard processing-fee deviation, assigning the blockchain transaction a lowest link-score equal to or less than the base link-score; and when the amount of blockchain transaction is not within the common VASP batch patterns or is not inconsistent with the defined standard processing-fee deviation: applying a first adjustment to the base link-score according to how close a date-time of the blockchain transaction identified from a corresponding timestamp is to the date-time value of the on-ramp transaction; applying a second adjustment to the base link-score based on how the amount of the blockchain transaction falls within an amount value range relative to the amount value of the on-ramp transaction; and based on the first adjustment and the second adjustment, assigning a final link-score the blockchain transaction; wherein the generated link-score is one of the lowest link- score or the final link-score; select, from the identified plurality of blockchain transactions, a blockchain transaction with a highest generated link-score as a blockchain transaction related to the on-ramp transaction; based on the selected blockchain transaction related to the on-ramp transaction, identify a cryptocurrency wallet in which funds from the on-ramp transaction were directed to, wherein identifying the cryptocurrency wallet comprises inferring a wallet identifier that is not explicitly provided by the virtual asset service provider that is not included in the on-ramp metadata. – that fall under the abstract idea groupings of Mathematical Concepts and/or Mental Process. The dependent claims further limit the abstract idea to – (Claims 2, 9, 16) identify a group of one or more blockchain transactions likely to be associated with the on-ramp transaction using fuzzy logic rules that operate on approximate temporal and value similarity metrics; obtain transaction data of an initial group of blockchain transactions from a blockchain data source; assigning initial link scores to an initial group of blockchain transactions; adjusting the initial link scores of one or more of the initial group of blockchain transactions using a set of one or more fuzzy logic rules and the obtained transaction data; selecting blockchain transactions likely to be associated with the fiat currency account from the initial group of blockchain transactions based on the adjusted initial link scores of the one or more of the initial group of blockchain transactions; (Claim 3, 10, 17) determine that blockchain transaction behavior associated with the fiat currency account includes high-risk behavior using a blockchain risk model, the identified cryptocurrency wallet, and the identified group of one or more blockchain transactions, wherein determining that the blockchain transaction behavior associated with the fiat currency account includes high-risk behavior further includes: obtaining transaction data associated with the identified group of one or more blockchain transactions; providing the on-ramp transaction metadata and the obtained transaction data associated with the identified group of one or more blockchain transactions as input to the blockchain risk model; generating, by the blockchain risk model, an account risk rating associated with the fiat currency account; and determining that the blockchain transaction behavior associated with the fiat currency account includes the high-risk behavior using the generated account risk rating and at least one defined rating threshold. (Claim 4, 11, 18) wherein the generated account risk rating is associated with a plurality of high-risk behavior types and the generated account risk rating includes an account risk rating value for each high-risk behavior type of the plurality high-risk behavior types; wherein the at least one defined rating threshold includes a defined rating threshold for each high-risk behavior type of the plurality of high-risk behavior types; and wherein determining that the blockchain transaction behavior associated with the fiat currency account includes the high-risk behavior further includes determining that at least one account risk rating value of the account risk rating associated with at least one high-risk behavior type exceeds the defined rating threshold for the high-risk behavior type. (Claim 5, 12, 19) obtain feedback data indicating accuracy of the determining that the blockchain transaction behavior associated with the fiat currency account includes the high-risk behavior; and adjust the blockchain risk model using machine learning and based on the obtained feedback data, whereby accuracy of the blockchain risk model is improved for future high-risk behavior determinations. (Claim 6, 13, 20) prevent completion of payment network processes associated with another on-ramp transaction associated with the fiat currency account based on determining that the blockchain transaction behavior associated with the fiat currency account includes the high-risk behavior. (Claims 7, 14) notify the FI of the high-risk behavior in association with the fiat currency account using the transaction key, whereby the FI is enabled to take action to prevent future high-risk behavior, wherein notifying the FI of the high-risk behavior in association with the fiat currency account using the transaction key includes: displaying a blockchain behavior graphical user interface (GUI) including blockchain transaction risk behavior information associated with accounts of the FI; and causing an icon associated with the fiat currency account to be moved to a high- risk behavior portion of the blockchain behavior GUI. – that also recite Mathematical Concepts and/or Mental Process and/or Fundamental Economic Practices or Principles and/or Commercial/Legal Interactions. Hence under Prong One of Step 2A, claims 1-20 recite a combination of judicial exceptions. Prong 2: Prong Two of Step 2A evaluates whether the claim recites additional elements that integrate the judicial exception into a practical application of the exception. Limitations that are indicative of integration into a practical application include: Improvements to the functioning of a computer or to any other technology or technical field – see MPEP 2106.05(a) Applying the judicial exception with, or by use of, a particular machine – see MPEP 2106.05(b) Effecting a transformation or reduction of a particular article to a different state or thing – see MPEP 2106.05(c) Applying or using the judicial exception in some other meaningful way beyond generally linking the use of the judicial exception to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception – see MPEP 2106.05(e) Limitations that are not indicative of integration into a practical application include: Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea – see MPEP 2106.05(f) Adding insignificant extra-solution activity to the judicial exception – see MPEP 2106.05(g) Generally linking the use of the judicial exception to a particular technological environment or field of use – see MPEP 2106.05(h) Additional elements recited by the claims, beyond the abstract idea, include: a system comprising processor and memory; a computer storage medium; cryptocurrency wallet; metadata; a graphical user interface (GUI). Examiner finds that any additional element(s), beyond the judicial exception, has been recited at a high level of generality such that the claim limitations amount to no more than mere instructions to apply the exception using generic components (see MPEP 2106.05(f)) or insignificant data gathering activities (see MPEP 2106.05(g)). The combination of additional elements does not purport to improve the functioning of a computer or effect an improvement in any other technology or technical field. Instead, the additional elements do no more than use the computer as a tool and/or link the use of the judicial exception to a particular technological environment or field of use. The focus of the claims is not on improvement in computers, but on certain independently abstract ideas – identifying, using fuzzy logic rules, a group of blockchain transactions likely to be associated with fiat currency; determining that the blockchain transaction behavior associated with the fiat currency account includes high-risk behavior using a blockchain risk model; and performing mitigating action with financial institution and the fiat currency account – that merely uses generic computers as tools. Steps that do no more than spell out what it means to “apply it on a computer” cannot confer patent eligibility. Indeed, nothing in claim 1 improves the functioning of the computer, makes it operate more efficiently, or solves any technological problem. See Trading Techs. Int’l, Inc. v. IBG LLC, 921 F.3d 1378, 1384-85 (Fed. Cir. 2019). Therefore, the additional elements, individually or in combination, do not integrate the judicial exception into a practical application. Hence, the claims are ineligible under Step 2A. Step 2B: In Step 2B, the evaluation consists of whether the claim recites additional elements that amount to an inventive concept (aka “significantly more”) than the recited judicial exception. As discussed in Prong Two, the additional elements in the claims amount to no more than mere instructions to apply the exception using generic components, which is insufficient to provide an inventive concept. When considered individually or as an ordered combination, the additional elements fail to transform the abstract idea of – identifying, using fuzzy logic rules, a group of blockchain transactions likely to be associated with fiat currency; determining that the blockchain transaction behavior associated with the fiat currency account includes high-risk behavior using a blockchain risk model; and performing mitigating action with financial institution and the fiat currency account – into significantly more. See MPEP 2106.05(f) Mere Instructions To Apply An Exception [R-10.2019]. (2) Whether the claim invokes computers or other machinery merely as a tool to perform an existing process. Use of a computer or other machinery in its ordinary capacity for economic or other tasks (e.g., to receive, store, or transmit data) or simply adding a general purpose computer or computer components after the fact to an abstract idea (e.g., a fundamental economic practice or mathematical equation) does not integrate a judicial exception into a practical application or provide significantly more. Hence, the claims are ineligible under Step 2B. Therefore, the claim(s) are rejected under 35 U.S.C. 101 as being directed to a judicial exception without significantly more. Prior Art Relevant Prior Art not relied upon but made of record: Improving Decision-Making in Blockchain-Based Systems Using Fuzzy Logic by Abdullaeh et al., 16th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2023, pages 228-236 Review of Advances in Fuzzy Logic Models for Fraud Detection, Usman et al., Bima Journal of Science and Technology, Vol. 8(3) Sept, 2024 ISSN: 2536-6041 Data division using Fuzzy Logic and Blockchain for data security in cyber space, Sreenivasan et al., 4th International Conference on Innovative Data Communication Technology in cyber space. Fuzzy Neural Network for Detecting Anomalies in Blockchain Transactions, Apiecionek et al., Published: 25 November 2024, Electronics 2024, 13, 4646. https://doi.org/10.3390/electronics13234646 Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks, Yazdinejad et al., ACM Digital Library, Computers in Industry, Vol. 144, No. C. A Lightweight Scalable and Secure Blockchain Based IoT Using Fuzzy Logic, Anita et al., Wireless Personal Communications (2022) 125:2129–2146, Published online: 19 March 2022 Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System, Rahman et al., ASSS ’23, July 10–14, 2023, Melbourne, VIC, Australia Crypto Crime Has Hit Main Street. Here’s How Local Law Enforcement Can Tak Action, December 13, 2022 by Gurvias Grigg, Chainalysis. US20160342976 Method and system for linkage of blockchain-based assets to fiat currency accounts US20160342989 Method and system for processing blockchain-based transactions on existing payment networks US20200082365 Cryptocurrency payment network US20200151682 Digital fiat currency US20210035110 Blockchain transaction fuzzy validation Response to Arguments Applicant's arguments filed 1/8/2026 have been fully considered but they are not persuasive. 101 Applicant asserts that previously, there was no practical or reliable way to link a fiat on-ramp transaction to the specific blockchain transaction that actually embodied the cryptocurrency transfer, and therefore no way to determine the true destination wallet of that on-ramp event. This was due to multiple technical barriers: (1) blockchain ledgers are pseudonymous and contain no fiat-side identifiers; (2) VASPs generally do not disclose withdrawal transaction IDs or receiving addresses; and (3) blockchain posting times, transaction fees, batching behaviors, and network delays break any straightforward correlation between fiat records and blockchain records. Applicant argues that 1 overcomes these technical barriers by determining which blockchain transaction corresponds to a given on-ramp transaction. As described in [0013], [0017], [0032] – [0038], the system evaluates publicly visible blockchain transactions using approximate temporal and value-range similarity rules, iteratively adjusts continuous link-scores for each candidate blockchain transaction, eliminates transactions whose values fall into common batching or fee-inconsistent patterns, and ranks the remaining candidates. Through this scoring and elimination process, the system identifies the specific blockchain transaction (or transactions) most likely to correspond to the fiat on-ramp transaction-a technical capability that did not exist previously. This ability to resolve a fiat on-ramp event into its actual blockchain transaction counterpart, and only thereafter infer the correct destination wallet, is itself the technological improvement. It enables attribution and traceability that were previously impossible for blockchain or banking systems, even when performed by experts. Applicant argues that claim 1 expressly recites that the identified cryptocurrency wallet is inferred and reconstructed even though a wallet identifier is neither explicitly provided by the virtual asset service provider nor included in the on-ramp metadata. This clarification makes clear that the claim is not directed to a financial or business practice, nor to a mental process, but instead to a technical solution to a blockchain-specific attribution problem caused by intentional anonymity, batching, and fee-induced non-determinism in distributed ledger systems. Applicant argues that claim 1 recites a particular way of resolving missing technical identifiers using probabilistic link-scoring and public blockchain data, which cannot practically be performed in the human mind and which meaningfully limits any alleged abstract idea. Examiner respectfully disagrees. Examiner finds the above arguments unpersuasive because none of the limitations recited in the independent (or dependent) claims involve technical improvement; rather each of the limitations recites either an abstract ide or a combination of abstract ideas. For example, in claim 1, the steps of generating, assigning, adjusting base link-score requires observation, evaluation, judgment and opinion and hence constitutes Mental Process. Similarly, the determination of how the amount of the blockchain transaction falls within an amount value range relative to the amount of value of the on-ramp transaction, when an amount of blockchain is or is not within common VASP batch patterns and is or is not inconsistent with defined standard processing fee deviation, and selecting a blockchain transaction with a highest generated link-score – also requires observation, evaluation, judgment and opinion and hence constitutes Mental Process. Generating, and adjusting link score involves Mathematical Concepts. Finally, the limitation of inferring a wallet identifier that is not explicitly provided by the VSAP and not included in the on-ramp metadata appears to be almost guesswork and is thus also a Mental Process. Hence, independent claim 1 recites a combination of Mental Process and/or Mathematical Concepts. As regarding the dependent claims, Examiner notes that determining and identifying high-risk behavior in claims 3-7 falls under Fundamental Economic Practice which is a subcategory of Certain Methods of Organizing Human Activity. Examiner also notes that limitation of generating fiat currency account risk rating from the blockchain risk model (claim 3) and adjusting the blockchain risk model using machine learning and based on the obtained feedback data, whereby accuracy of the blockchain risk model is improved for future high-risk behavior determinations (claim 5) falls under Mathematical Concepts. Hence, the dependent claims recite a combination of Mathematical Concepts, Mental Process and/or Certain Methods of Organizing Human Activity. Examiner further points out that the so-called technical barriers as described by the applicant – pseudonymous nature of blockchain ledgers – are an intrinsic feature of blockchain that cannot be changed or overcome. Blockchains were designed to be pseudonymous such that each participant is identified by unique alphanumeric string rather than name or physical address but all transactions can be traced on the public ledger. Contrary to applicant’s assertion, no technical barrier has been overcome by claim 1 because all transactions on the public blockchain are available to everyone including law enforcement. An analyst or law enforcement official may identify, from the publicly available blockchain transaction metadata or from the VASP or from the financial institution (FI), every occurrence of on-ramp transaction between a fiat currency account and VASP for exchange between fiat currency and cryptocurrency as disclosed in para [0012]. This does not require overcoming any technical challenges but mere application of mental processes. Applicant’s invocation of the disclosure from para [0013], [0017], [0032], [0038] are not persuasive of technical improvement because they merely provide a high-level overview of the concepts of determining links between on-ramp and other blockchain transactions through the use of date-time values, machine learning trained modeling. This no more than conceptual overview of the application of fuzzy logic to blockchain transaction data as opposed to improvement in the functioning of the blockchain Applicant argues that even if fuzzy logic and scoring are viewed as involving mathematical concepts, claim 1 does not recite mathematical formulas, equations, or calculations. Instead, claim 1 recites functional operations and system behavior. As emphasized in the Memo, claims that merely involve mathematics without setting forth mathematical relationships do not recite a judicial exception and are eligible without further analysis. Examiner respectfully disagrees. First, claims do not have to explicitly recite mathematical formula or equations in order to be deemed abstract. MPEP § 2106.04(a)(2)(I): It is important to note that a mathematical concept need not be expressed in mathematical symbols, because “[w]ords used in a claim operating on data to solve a problem can serve the same purpose as a formula.” In re Grams, 888 F.2d 835, 837 and n.1, 12 USPQ2d 1824, 1826 and n.1 (Fed. Cir. 1989). See, e.g., SAP America, Inc. v. InvestPic, LLC, 898 F.3d 1161, 1163, 127 USPQ2d 1597, 1599 (Fed. Cir. 2018) (holding that claims to a ‘‘series of mathematical calculations based on selected information’’ are directed to abstract ideas); Digitech Image Techs., LLC v. Elecs. for Imaging, Inc., 758 F.3d 1344, 1350, 111 USPQ2d 1717, 1721 (Fed. Cir. 2014) (holding that claims to a ‘‘process of organizing information through mathematical correlations’’ are directed to an abstract idea); and Bancorp Servs., LLC v. Sun Life Assurance Co. of Can. (U.S.), 687 F.3d 1266, 1280, 103 USPQ2d 1425, 1434 (Fed. Cir. 2012) (identifying the concept of ‘‘managing a stable value protected life insurance policy by performing calculations and manipulating the results’’ as an abstract idea). Second, the limitation “adjusting the initial link scores of one or more of the initial group of blockchain transactions using a set of one or more fuzzy logic rules” in claim 2, requires adjusting a score using fuzzy logic and thus invokes mathematical calculations. Similarly, the limitation “generating, by the blockchain risk model, an account risk rating associated with the fiat currency account” in claim 3 also involves mathematical calculations. For the above reasons, applicant’s arguments are not persuasive. Applicant asserts that ability to resolve a fiat on-ramp event into its actual blockchain transaction counterpart, and only thereafter infer the correct destination wallet, is itself the technological improvement. It enables attribution and traceability that were previously impossible for blockchain or banking systems, even when performed by experts. Examiner finds this unpersuasive because blockchains being pseudonymous, can eventually be traced to the actual user, when necessary, by the age-old practice of “follow the money.” For example, the Department of Justice has been able to identify crypto criminals by tracking them to the exchanges. See NPL Chainalysis. Identifying fraud by following the trail of (crypto) funds to a (cryptocurrency) wallet is no less a fraud detection method than following the trail of fiat currency to a conventional digital wallet and thus falls under the abstract idea grouping of Fundamental Economic Practice. MPEP 2106.05(a) Improvements to the Functioning of a Computer or To Any Other Technology or Technical Field II. IMPROVEMENTS TO ANY OTHER TECHNOLOGY OR TECHNICAL FIELD Consideration of improvements is relevant to the integration analysis regardless of the technology of the claimed invention. That is, the consideration applies equally whether it is a computer-implemented invention, an invention in the life sciences, or any other technology. Notably, the court did not distinguish between the types of technology when determining that the invention improved technology. However, it is important to keep in mind that an improvement in the judicial exception itself (e.g., a recited fundamental economic concept) is not an improvement in technology. For example, in Trading Technologies Int’l v. IBG LLC, the court determined that the claim simply provided a trader with more information to facilitate market trades, which improved the business process of market trading but did not improve computers or technology. Similarly, here the focus of the claims is not on any improvement in computer capabilities but on the abstract idea of financial risk management. The problem purportedly addressed here is financial risk management and not technological – identifying malicious transaction behavior associated with cryptocurrencies. Using fuzzy logic rules on temporal and similarity metric to determine that high-risk transaction behavior associated with a fiat currency account – may help counter likely transaction fraud or risky behavior by fiat currency account holders. But it does not improve computers or technology. To the extent the claimed invention purports to provide an improvement, that improvement does not concern an improvement to computer capabilities but instead relates to achieving the aim of identifying high risk blockchain transactions – a process in which generic computers are merely used as tools in their ordinary capacity. This is risk management as opposed to technical improvement. Attribution and traceability are merely the result or effect of application of the abstract idea(s). Using fuzzy logic may facilitate identify high risk blockchain transactions but it does not achieve an improved technological result. The ordered combination of steps recited in claims 1-20 does not recite (i) an improvement to the functionality of a computer or other technology or technical field; (ii) a “particular machine” to apply or use the judicial exception; (iii) a particular transformation of an article to a different thing or state; or (iv) any other meaningful limitation. See MPEP 2106.05 (a)-(c), (e)-(h). Hence, the additional elements, when considered individually or as an ordered combination, do not integrate the abstract idea into a practical application or provide significantly more. See MPEP 2106.05(f) (“Use of a computer or other machinery in its ordinary capacity for economic or other tasks (e.g., to receive, store, or transmit data) or simply adding a general purpose computer or computer components after the fact to an abstract idea (e.g., a fundamental economic practice or mathematical equation) does not provide significantly more.”). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to ARUNAVA CHAKRAVARTI whose telephone number is (571)270-1646. The examiner can normally be reached 9 AM - 5 PM ET. 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, Ryan Donlon can be reached at 571-270-3602. 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. /ARUNAVA CHAKRAVARTI/Primary Examiner, Art Unit 3692
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Prosecution Timeline

Show 4 earlier events
Aug 07, 2025
Response Filed
Oct 08, 2025
Final Rejection mailed — §101
Nov 10, 2025
Interview Requested
Dec 16, 2025
Applicant Interview (Telephonic)
Dec 16, 2025
Examiner Interview Summary
Jan 08, 2026
Request for Continued Examination
Feb 13, 2026
Response after Non-Final Action
Apr 24, 2026
Non-Final Rejection mailed — §101 (current)

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Prosecution Projections

3-4
Expected OA Rounds
9%
Grant Probability
22%
With Interview (+13.1%)
4y 1m (~1y 9m remaining)
Median Time to Grant
High
PTA Risk
Based on 409 resolved cases by this examiner. Grant probability derived from career allowance rate.

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