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Tokenization Enters the Reg SCI Ledger: Parsing the SEC's 2027 Examination Agenda

CryptoSam โ€ข โ€ข ETF

Hook: The Document That Says Nothing Four Times

Read a regulatory document by counting its disclaimers before you read its nouns.

The SEC's staff examination priorities for fiscal year 2027 place tokenization on the agenda โ€” and then, four separate times in the body, instruct the reader not to take the word "agenda" literally. The filing states that it does not establish legal obligations, does not amend existing law, and reflects only the views of the staff personnel who drafted it. Four repetitions of the same self-limitation, sitting inside a text that a dozen outlets compressed into one declarative headline, is not stylistic caution. It is a load-bearing wall.

What the headline sells is enforcement weather. What the document actually contains is a systems specification.

Buried in a list of examination priorities โ€” a list that also names extended trading hours, advanced artificial intelligence, and quantum computing โ€” tokenization appears not as a product category to be blessed or banned, but as a category of interconnection risk. That classification choice is the most technically meaningful thing in the entire filing, and it is the thing almost nobody summarized. When a regulator files a technology next to AI and quantum computing under a systems-reliability rule, it is not telling you whether that technology is legal. It is telling you that the technology now shares a failure surface with the plumbing that clears American equities.

Two weeks ago I pulled the raw text of the priorities document apart line by line, because the coverage I was seeing described a regulation that the document does not contain. What follows is what the text actually says, what it implies about where tokenized securities will break, and why the industry's most common reading of this news is precisely backwards.


Context: What Reg SCI Actually Governs, and Why It Is The Wrong Door To Walk Through Casually

To understand why the SEC's classification matters, you have to understand what a rule called Regulation Systems Compliance and Integrity โ€” Reg SCI โ€” is designed to do, because it is not a securities rule in the traditional sense. It is an uptime rule. It governs the reliability, capacity, integrity, and business-continuity posture of the core systems operated by certain market participants: exchanges, clearing agencies, alternative trading systems that meet a volume threshold, and a handful of other self-regulatory organizations. Reg SCI does not ask whether a trade was fair. It asks whether the system that recorded the trade was available, whether it had the capacity to handle the load it faced, and whether it could recover gracefully when a component failed.

That distinction โ€” fairness versus uptime โ€” is the whole game here. When the staff puts tokenization under the Reg SCI examination lens, it is not opening a debate about whether tokenized securities are securities. It is opening a debate about whether the systems that hold, transfer, and reconcile them can survive a Tuesday afternoon.

For a reader who has spent time inside crypto infrastructure, Reg SCI should feel uncomfortably familiar. It is the regulatory cousin of the reliability engineering crypto builders talk about constantly and measure almost never: throughput under stress, failure recovery, data integrity across components, the behavior of a system when one of its dependencies goes dark. The difference is that Reg SCI assumes a centralized operator with a named accountable entity, a documented change-management process, and a legal obligation to report material systems disruptions. Crypto's native answer to the same problem has been, historically, to assume that decentralized consensus handles it. Those two assumptions collide the moment a tokenized equity share has to be reconciled against a legacy clearing record.

The framing throughout the document is deliberately modest. The examination priorities are an allocation of staff attention, not a rulemaking. They guide where examiners spend their hours. But the informal nature of the document is itself the trap: an examination finding, unlike a rule violation, does not need a statute to become expensive. Findings flow into enforcement. Enforcement creates precedent. Precedent becomes the de facto standard long before any formal rule exists.

In six weeks of auditing fraud-proof mechanisms for two leading optimistic rollups in 2024, I watched this exact pattern play out inside a private research consortium. The protocol teams treated a confidential review as advisory. Eighteen months later, the recommendations from that review had become the baseline their institutional counterparties demanded in diligence checklists. Soft documents have a way of hardening.


Context: The September Innovation Exemption and Its Five Conditions

The 2027 examination agenda did not arrive on empty ground. It arrived roughly a quarter after the SEC rolled out an innovation exemption framework aimed at tokenized securities โ€” a temporary, conditional relief structure that lets qualifying platforms experiment with tokenized equity without immediately running the full gauntlet of registration.

That exemption carries five conditions, and each one is a technical requirement disguised as a legal one:

  1. Equivalent shareholder rights. A tokenized share must convey the same rights as the underlying security, including voting and any distributions.
  2. Issuer notification. The issuer of the underlying security must be informed that a non-affiliated party intends to tokenize its shares.
  3. An opportunity to object. When a non-affiliated party tokenizes, affected issuers get a chance to respond.
  4. Trading limits. Volume or position caps constrain how much of the tokenized instrument can change hands.
  5. Publicly auditable smart contracts. The contracts governing the tokenized instrument must be open to inspection.

Read those five conditions again, but this time read them as a systems engineer rather than a lawyer. You will notice something the legal coverage missed entirely: four of the five conditions are operational constraints, not disclosure requirements. Condition one is a data-mapping problem. Condition four is a throttling problem. Condition five is a transparency problem. Only condition two is genuinely a notification regime.

The innovation exemption, in other words, is not a permission slip. It is a stress-testing protocol. The SEC has effectively said: build the thing in a sandbox, cap its volume, keep the contracts open, and we will watch what happens to the surrounding infrastructure. The 2027 examination agenda is the mechanism by which that watching becomes systematic.

Mapping the invisible costs of abstraction layers is a habit I picked up auditing rollups, and it applies here with uncomfortable precision. Every abstraction between a tokenized instrument and its underlying security is a place where information can be lost, delayed, or misstated. The exemption's five conditions are, in essence, the SEC's attempt to enumerate those abstraction layers in advance and demand that each one be legible.

The most consequential of the five is the last one. "Publicly auditable smart contract" is the first time the agency has written a technical minimum into a tokenization framework. It means the contract is no longer allowed to be a black box. Auditability has become the entry ticket. For builders raised on "code is law," this should register as a quiet but profound reframing: the law is now saying that code must be readable by the law.


Core: The Handoff Problem โ€” Where Tokenized Securities Actually Break

Here is the analytical move that the entire debate has been missing. The interesting question about tokenized securities is not whether the token is a security. It is not whether the blockchain is fast enough. It is whether the handoff between systems is reliable.

The author of the examination priorities makes this distinction explicit, and it is worth quoting the logic rather than the words: the token itself is not the same thing as the services built around it. Who holds the underlying security. How a trade is reconciled. What happens when a system drops offline mid-settlement. These questions, the document argues, carry the same weight as the blockchain design itself.

Parsing the entropy in the handoff between a legacy clearing record and an on-chain ledger is a specific kind of work. I have done versions of it before โ€” not in securities, but in DeFi, and the failure modes rhyme. In 2020 I spent three months modeling the interaction between Uniswap V2 and Compound, tracking how a leveraged position propagated risk across two protocols that each assumed the other was honest. The lesson from that exercise was that the dangerous failure is almost never inside a single well-audited component. It is in the seam.

Tokenized securities have a bigger seam than any DeFi position, because one side of the seam is a fifty-year-old settlement apparatus and the other side is a smart contract that operates on millisecond finality assumptions. Consider what has to stay consistent across that boundary:

  • Ownership records. The token says one wallet holds one share. The legacy register of the issuer's transfer agent says a different entity holds that share. Between the two lies a reconciliation process, and reconciliation processes are where errors compound silently.
  • Corporate actions. A dividend, a split, a merger โ€” each is an event with a record date, an ex-date, and a settlement date. On-chain instruments have to translate calendar-based legacy mechanics into block-based state transitions without double-counting or missing holders.
  • Trading halts and circuity. When the underlying security halts on its primary venue, the tokenized instrument must halt too, or the token becomes a channel for price discovery on a security whose true price is frozen. Enforcing that halt across venues that operate on different clocks is not a smart-contract problem. It is an orchestration problem.
  • Failure recovery. When the on-chain component stalls, the off-chain clearing process must know it has stalled, and must not settle against stale data. When the off-chain component stalls, the on-chain instrument must not mint phantom entitlements.

Each of these is a state-transition consistency problem. Each is unglamorous. None of them show up in a token's marketing material, and all of them are exactly what an examiner will probe.

The single most important insight in the document โ€” and I want to state it in bold because it inverts the industry's instinct โ€” is this: the failure of a tokenized securities platform is more likely to originate in operational orchestration than in on-chain code. The industry has spent a decade obsessing over contract security, and rightly so, but it has spent almost no time modeling the behavior of the seam. A perfectly audited contract attached to a broken reconciliation pipeline produces the same outcome as a hack: users lose money and trust collapses, except there is no exploit to point at, no attacker to blame, and no patch to ship.

I have seen a version of this in the fraud-proof audits I ran in 2024. Those mechanisms were cryptographically sound on paper. What concerned me was not the cryptography. It was the latency between a challenge being raised and a challenge being resolved during a high-volatility window. The math held. The timing did not. That is the shape of the risk in tokenized securities, scaled up by an order of magnitude, because the timer runs against a legacy system that was designed for batch processing, not continuous settlement.


Core: Auditable Smart Contracts as a Minimum Compliance Floor

The fifth condition of the innovation exemption deserves its own treatment, because it changes the economics of tokenization build-out in a way that is not obvious from the headlines.

Demanding that a smart contract be publicly auditable is a software supply-chain requirement more than a legal one. It means several concrete things at the engineering level. The contract's logic must be readable by a third party without privileged access. Its upgrade path โ€” if it has one โ€” must be documented, because an upgradeable contract with an undisclosed admin key is auditable in name only. Its dependencies, including any oracles, must be identifiable, because an auditable contract that trusts an opaque data feed is not auditable in any meaningful sense.

This is where crypto's mythology and the regulator's requirement diverge sharply. The crypto-native answer to trust has been trust-minimization: remove the need to trust any party by removing the parties. Reg SCI's answer is the opposite: name the party, make it accountable, and require it to prove its systems work. A tokenized securities instrument under this framework cannot be trust-minimized in the crypto sense, because there is a custodian holding the underlying asset, a clearing entity reconciling the trades, and an accountable operator on the hook for uptime. The SEC is not asking whether the instrument is trustless. It is asking whether the trust is legible.

For builders, auditability is a moat with a cost. Teams that already practice rigorous verification โ€” that publish appendices, that version their contracts, that can produce a full dependency graph on request โ€” will find the exemption's fifth condition easy to satisfy because it describes how they already work. Teams that have treated their contract as a competitive secret will find it a structural disadvantage overnight. This is the invisible cost of the abstraction layer made visible: the moment auditability becomes a compliance requirement, every design decision that relied on opacity converts from a feature into a liability.

There is a second-order effect here that I want to flag, because it connects to something I have watched fail repeatedly. The exemption's trading limits and auditable-contract requirement are, in combination, a risk-controlled pilot. The SEC is not trying to prove that tokenization works. It is trying to prove that tokenization fails in a contained way. Cap the volume. Keep the code open. Watch what breaks. Then, and only then, decide whether to widen the aperture. The 2027 examination agenda is plausibly the stress-test harness that determines the answer.


Core: Reconciliation Latency and the Maintenance Window Squeeze

There is a detail in the priorities document that has received almost no attention, and it is the one I would put at the top of a risk register.

The document lists tokenization alongside extended trading hours as priorities for systems review. That pairing is not accidental. Extended โ€” eventually around-the-clock โ€” trading is the implicit force behind tokenization, because a token that trades continuously is only useful if the market it represents can also trade continuously. But continuous operation collides with something every settlements engineer knows: maintenance windows.

Legacy market infrastructure runs on scheduled downtime. Batch processes reconcile overnight. Systems upgrade during closed hours. A market that never closes has no closed hours, which means either maintenance happens live โ€” an operational risk that grows with system complexity โ€” or the system is engineered for true hot-swappability, which is expensive and rarely done well.

Tokenization does not create this problem, but it accelerates the moment when the problem becomes unavoidable. And the examination agenda has quietly put a flag on it: if you run a tokenized venue, examiners will want to know what your uptime posture looks like when there is no natural window to take the system down.

Latency compounds the issue. A tokenized instrument implies near-instant transfer on-chain. The legacy reconciliation that confirms the underlying position moving is not instant. If the two clocks are not synchronized, a participant can act on a position the legacy system has not yet confirmed, and the resulting inconsistency has to be unwound somewhere. Unwinding is where institutions lose money, and where reputational damage accumulates.

Unraveling the spaghetti code of legacy settlement is not a task any tokenization team can avoid, because the token does not replace the settled world โ€” it references it. Every reference is a dependency. Every dependency is a potential desynchronization point. The teams that treat the legacy layer as an implementation detail will discover, at exactly the wrong moment, that it is the load-bearing layer.


Core: The Supplier Cascade โ€” Cloud, RPC, Oracles

One line in the priorities document has outsized implications for the crypto infrastructure stack: it indicates that cloud service providers and technology vendors fall within the examination scope.

Read that as a supply-chain statement. If a tokenized securities platform depends on a cloud provider for its compute, on an RPC layer for its node access, and on an oracle for its reference prices, then the reliability of the platform is partly the reliability of its suppliers. Reg SCI already reaches into the critical third parties of covered entities, so extending that reach to include cloud and technology vendors is a natural, if under-discussed, progression.

For the crypto-native infrastructure sector โ€” node operators, RPC providers, oracle networks, indexers โ€” this is a signal worth taking seriously. The border of examination has moved upstream. A validator or an oracle feed that supports a tokenized securities venue is now, in effect, a component of a system subject to reliability review. That does not mean the oracle gets a securities license. It means the oracle's availability assumptions become inputs to a compliance determination it never signed up for.

There is a structural irony here that the industry should sit with. The narrative advantage of tokenization has always been decentralization โ€” the promise that settlement happens without a single controlling entity. The compliance reality of tokenization is the opposite: it assumes accountable operators, auditable contracts, and named vendors, all of whom can be examined. The two stories coexist only because the word "decentralization" is doing two different jobs. On-chain, it describes the absence of a privileged operator. In the securities context, it describes nothing the regulator accepts, because the regulator needs a party to hold accountable when the system fails.

This is where I want to bring in the observation I have made repeatedly in regulatory contexts. Most tokenization KYC is theater. The identity checks attached to a tokenized instrument do almost nothing to prevent a determined participant from obtaining exposure through a handful of wallet holdings acquired elsewhere, yet the compliance burden falls entirely on honest users who follow the process in good faith. The supplier cascade extends the same pattern upward: vendors that are scrutable will bear the compliance cost, while the actual availability risk lives in infrastructure that is hard to see. Naming the vendors is a start. Whether the naming changes the reliability of the system is a separate question the document does not answer.


Core: Howey Is Not the Interesting Question

A great deal of commentary has framed the examination agenda as a statement about whether tokenized assets are securities. That framing is a distraction, and it is worth disposing of precisely.

The Howey test asks four things: was there an investment of money, in a common enterprise, with an expectation of profit, derived from the efforts of others? A tokenized share of stock satisfies all four without controversy. It is, definitionally, a security, because it is a representation of a security. There is no gray area to litigate. The only genuine legal questions are about the process โ€” who may issue, who may custody, who may trade, how the transfer is recorded, and what happens when the system fails.

Once you accept that tokenized equities are securities, the entire menu of interesting questions shifts from classification to plumbing:

  • What is the legally recognized record of ownership, and which system holds it?
  • How does a corporate action propagate from the issuer to a tokenized holder without ambiguity?
  • What is the enforcement mechanism when a chain-level transaction conflicts with a legal transfer restriction?
  • How is the custody of the underlying asset segregated from the platform operator's balance sheet?

The examination priorities operate entirely within this plumbing layer. They assume classification and interrogate operations. That assumption is itself a signal: the regulator has moved past the debate that the industry is still having.


Core: Why Tokenization Sits Beside AI and Quantum Computing

Return to the list. Tokenization appears in the same examination category as extended trading hours, advanced AI, and quantum computing. This is the analytical center of gravity for the whole document, and it is a classification statement about risk, not about legality.

What do those four items share? They are all technologies that, at scale, change the behavior of the systems they touch in ways that are hard to bound. Extended trading hours stress capacity and resilience. AI changes the composition of automated decision-making and, potentially, the determinism of market behavior. Quantum computing threatens the cryptographic assumptions underpinning integrity mechanisms. Tokenization changes the data model of ownership and settlement.

Filing tokenization alongside them says the agency has classified it as a source of systemic or interconnection risk rather than a discrete product. That has concrete consequences. A discrete product gets reviewed for compliance with the rules that apply to it. A systemic risk source gets reviewed for its interaction with everything else โ€” a much broader and more persistent examination posture.

The implication for operators is that the examination of a tokenized venue will not stop at the venue. It will follow the dependencies outward: settlement feeds, custody arrangements, data providers, and the interaction between on-chain events and off-chain obligations. Finding signal in the consensus noise of the daily headline cycle has been my working method for years, and the signal here is not the word "tokenization." The signal is the company it keeps.


Core: The 34,000-Registrant Dragnet and Compliance Cost Transfer

The examination priorities apply to a broad universe โ€” the registered-entity population runs into the tens of thousands. Tokenization appears as one priority within a much larger examination program, which tells you something important about how the coming years will feel for anyone in the space.

Tokenized securities platforms will not be examined in isolation. They will be examined as members of a large, heterogeneous population of registrants, competing for examiner attention and inheriting standards shaped by that broader population. Practically, this means two things. First, tokenization's compliance expectations will be set partly by analogy to the expectations applied to conventional market infrastructure โ€” clearing agencies, ATSs, broker-dealers โ€” rather than by bespoke tokenization rules. Second, the direction of regulatory travel is toward using the existing toolbox rather than building a new one.

Using the existing toolbox is a double-edged outcome. The upside is that the industry avoids a disruptive bespoke regime and inherits a body of settled expectations. The downside is that those expectations were written for systems with fundamentally different assumptions โ€” batch settlement, defined trading hours, accountable intermediaries โ€” and fitting a continuously settling, programmatically enforced instrument into them forces awkward compromises.

There is a further wrinkle, and it concerns where the cost lands. Compliance obligations imposed on a broad registrant population tend to be absorbed differently by large and small participants. Large institutions have compliance departments that can absorb a new examination priority with a memo. Smaller, faster, crypto-native teams face a disproportionate burden โ€” not because the rule is unfair, but because fixed compliance costs do not scale down. The same dynamic that makes KYC theater expensive for honest small users makes examination compliance expensive for honest small operators. The burden and the benefit are misaligned, and the misalignment is structural, not accidental.


Contrarian: The Real Risk Is the Reading, Not the Rule

Now the counter-intuitive part, and it is the reason this document deserves a technical reading rather than a market one.

The largest risk created by the SEC's 2027 examination agenda is not that the SEC will do something harmful to tokenization. It is that the market will believe the SEC did something it did not do.

The headline โ€” tokenization on the examination agenda โ€” reads as a regulatory escalation. The body, in four separate places, disclaims any new legal obligation. Anyone who reads only the headline and prices it as a crackdown is miscalibrated in one direction. Anyone who reads only the September innovation exemption and prices it as a green light is miscalibrated in the other. The document's actual state โ€” a non-binding staff signal that tokenization is under sustained scrutiny โ€” sits precisely between those two readings, and both readings are common.

My read is that the true market impact of this document is close to neutral, with a mild tilt toward the constructive, because the act of putting a technology on an examination agenda is an act of acknowledgment, not prohibition. A regulator does not examine what it intends to eliminate. But the acknowledgment carries obligations that the industry systematically under-prices, because obligations are boring and headlines are not.

The under-priced obligation is this: an examination finding can become an enforcement action without any new rule being written. The document's softness is its own kind of hardness, because it means there is no fixed target to lobby against. Finding signal in the consensus noise is exactly the discipline this requires. The consensus is that this is either a crackdown or a green light. The signal is that it is neither โ€” it is the moment a gray-zone activity acquires a compliance baseline, and the baseline is defined by the first findings that come out of the first examinations.


Contrarian: Operational Failure Beats Code Failure

Almost all of the crypto industry's security attention is directed at a place the SEC's document does not emphasize: the code.

The document emphasizes continuity โ€” whether the whole service remains reliable, including the handoffs between systems โ€” and that emphasis is a warning about where failures will actually occur. The crypto mind is trained to look for exploits: a reentrancy bug, an oracle manipulation, a bridge vulnerability. The securities mind is trained to look for outages: a feed that goes stale, a reconciliation that misses a cycle, a backup that has never been tested.

The historical record in traditional market infrastructure supports the second instinct. Major settlement failures are overwhelmingly operational: process errors, capacity shortfalls, untested recovery paths, human error in a manual handoff. The code was fine. The operations were not. Tokenized securities inherit exactly this exposure, and they inherit it in an amplified form because the operations span two very different worlds.

I have written before, and I will say it plainly here: I have seen sophisticated, well-funded teams treat operational rehearsal as an afterthought. They will run a full audit on the contract and never run a full end-to-end test of a settlement failure. That inversion is the single most predictable failure mode of the coming tokenization cycle, and it is the thing the examination agenda is best positioned to catch, because examiners ask about continuity far more insistently than they ask about cryptographic elegance.


Contrarian: The DeFi Exclusion Nobody Is Pricing

Here is the angle that I have seen almost nobody address, and it is the one with the longest-run implications.

Every element of the SEC's tokenization framework โ€” the innovation exemption, the examination priorities, the Reg SCI lens โ€” is built around conventional market structures: clearing agencies, alternative trading systems, custodians, transfer agents, issuer notification. There is no seat at the table for permissionless DeFi. The entire architecture assumes an accountable intermediary, and permissionless protocols have, by design, no such intermediary to examine.

This means the tokenization wave, as the SEC is shaping it, will benefit a specific class of participants: regulated financial institutions with the compliance infrastructure to operate tokenized venues under the exemption's conditions. Crypto-native DeFi protocols will be structurally excluded from the primary channel, not because they are banned, but because they are legible to a framework that requires legibility.

The consequence is that the DeFi and tokenized-securities worlds will diverge rather than converge. The regulatory tokenization of securities looks superficially like DeFi โ€” tokens, wallets, on-chain transfers โ€” but its institutional assumptions are incompatible with DeFi's core premise. Expect the two to grow side by side, sharing tooling and no governance. The bridge between them, if one is ever built, will be a regulated one.

There is a governance echo here worth noting. One of the exemption's conditions is the preservation of equivalent shareholder rights, including voting. Tokenized equity will eventually have to answer the same question that has plagued on-chain governance: who actually shows up to vote. In on-chain governance, participation is chronically anemic, and the decisions that matter get made by a handful of large holders whose interests may not align with the broader base. Tokenized equity voting risks inheriting that same apathy, but with the added complication that the votes are legally binding. A share that is easy to trade is a share whose holders change constantly, and a constantly changing shareholder base is one that has little reason to pay attention to a proxy vote. Rights that are technically preserved can still be substantively hollowed out by disengagement. The examiner who asks about equivalent rights might be well advised to ask about turnout.


Contrarian: Temporary Means Temporary

The exemption is temporary, conditional, and reversible. The examination priorities are explicitly subject to change. Both facts are easy to read past and both deserve prominence.

A temporary framework imposes a specific kind of risk on the operators who move first. Early participants in a conditional regime bear the cost of proving out the framework, and if the framework is later tightened, they have paid for a permission that shrinks. The examination agenda does not change that calculus, but it does signal that the balance-testing phase is beginning. The window between "exempt" and "standardized" is when the rules are being written, and the operators who are being examined during that window are, in a real sense, co-authoring the standard through their findings.

For strategic planning, this argues against building long-lived capital commitments on the assumption that the current exemption's terms persist. It argues for treating the next two fiscal years as a design phase: build to a standard that is stricter than the current exemption requires, so that a tightening of the framework is a cost you have already absorbed rather than a shock.


Takeaway: The Question That Matters Is Not Whether Tokenization Will Be Regulated

The examination agenda does not answer whether tokenization is approved or disfavored, and anyone reading it for that answer is reading the wrong document. The document's real content is a positioning statement: tokenized securities have moved from the regulatory periphery into the ledger of systems the agency actively monitors, and they have been classified alongside the technologies the agency treats as sources of systemic risk.

The internal logic of the framework points one direction โ€” toward a tokenized securities market operated by accountable, examinable institutions, with auditable contracts, capped volumes, and reliable handoffs, largely isolated from the permissionless ecosystem that shares its tooling but none of its governance. The 2027 examination agenda is where that framework begins to acquire teeth, quietly, through findings rather than rules.

The question worth carrying forward is not whether tokenization will be regulated. It will be, and the process is already underway. The question is whether the industry building tokenized infrastructure is engineering for the failure surface the examiners will actually probe โ€” the seam between the chain and the settlement system, the reliability of a supplier chain it does not control, the recovery path it has never rehearsed โ€” or whether it is still optimizing the parts of the system that were never most likely to break.

A regulatory agenda is a map of where a regulator expects to find problems. The SEC has told the market where it will look. Very few of the teams building tokenized securities appear to be looking there yet.

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