U.S. Treasury yield curve signals structural repricing of sovereign credit

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Shifts in the U.S. Treasury yield curve are generating new trading signals, with the 20-year segment at +152 basis points. The 10-year yield minus the federal funds rate stands at 102 basis points. Over the past 26 months, the curve has steepened by 240 to 290 basis points, signaling structural change. On-chain trading signals suggest a potential normalization of the 10-year spread to 150–170 basis points. U.S. yields are now aligned with Germany, while short-term rates mirror those of India and Italy.

Author: WuBlockchain

Compiled by Deep潮 TechFlow

Shenchao Summary: This article reveals a structural risk widely underestimated by the market: the "risk-free asset" premium on U.S. Treasuries is quietly disappearing—a signal already embedded in the yield curve itself. For investors holding dollar-denominated assets, this is not merely a typical interest rate cycle fluctuation, but a fundamental realignment of the global pricing anchor.

Measured by the simplest yardstick—the ten-year U.S. Treasury yield minus the federal funds rate—the relative financing cost of the United States, the anchor of the global financial system, is now in the same range as Germany’s. Yet the full shape of the yield curve reveals that the market’s peak premium for the U.S. is not at the ten-year point, but at the twenty-year point. This is not a routine cyclical event, but a sovereign credit re-rating embedded within the yield curve itself.

On July 27, 2026, the 10-year U.S. Treasury yield closed at 4.65%, and the effective federal funds rate (EFFR) stood at 3.63%, resulting in a spread of approximately 102 basis points. Individually, this is less than one-third of the peak seen during the 1994 "Bond Vigilantes" era. However, when expanding the perspective from a single data point to the entire yield curve, global cross-sections, and implied probability distributions from options markets, a more complete and concerning picture emerges: what is damaged is not merely one maturity, but an era—the era in which U.S. Treasuries enjoyed a negative term premium subsidy as the world’s risk-free asset.

I. The curve is above the policy rate at every node.

Subtracting the EFFR from the U.S. Treasury yield curve points as of July 27, 2026, reveals the first fact: every maturity, from one-month bills to thirty-year bonds, exceeds the policy rate (Figure 1). The one-month maturity is 17 basis points higher, the one-year at 51 basis points, the two-year at 68 basis points, and the ten-year at 102 basis points—while the twenty-year reaches the highest point on the entire curve at +152 basis points, even surpassing the thirty-year (+149 basis points), resulting in an inversion of the 20s-30s spread.

Chart: Comparison of U.S. Treasury Yield Curves—September 2024 (before the first rate cut) and July 2026, with the entire curve shifting upward in parallel. Source: WuBlockchain

The slope distribution across each curve segment is more informative than any single spread. Between two and five years, the curve moved only 9 basis points over three years, remaining nearly flat: the market expects no return to the old interest rate regime. Between five and ten years, it rises by 25 basis points; between ten and twenty years, it jumps by 50 basis points. No one is pricing in a "policy rate at year fifteen"; this segment reflects almost purely term premium and duration supply premium. The point at which the market pays the highest marginal price for U.S. duration is precisely at the twenty-year mark—the point where pension fund demand is weakest and supply is most purely driven by fiscal considerations.

The short end tells a different story. Pricing at +51 basis points for one year and +68 basis points for two years reflects an hawkish path—no rate cuts over the next year, with potential for further hikes. This is a policy narrative rooted in the 2026 Middle East energy shock, not a credit narrative. Looking solely at the ten-year point risks conflating these two distinct factors.

Compared with the historical cross-section (Figure 2), three points stand out particularly.

First, during the wide spread periods of 2003, 2010, and 2013, the short end was below the policy rate—the market was pricing in rate cuts, reflecting a benign "recovery steepening." The 1993–1994 episode belongs to the same family as today: the short end is above the benchmark rate, and the long end carries a significant premium.

Second, today’s ten-year spread of +102 basis points is only one-third to one-half of the levels seen in October 1993 (+219 basis points) or November 1994 (+330 basis points); however, the pure duration premium—measured as the twenty-year minus two-year spread—after removing policy expectations, has reached 84 basis points, approximately two-thirds of the义警 peak (124 basis points), while the federal debt-to-GDP ratio stands at around 120%, nearly double the approximately 64% level in 1993.

Third, over the 26 months from September 2024 (when the entire yield curve was 132 to 192 basis points below the benchmark rate) to today (when it is 33 to 152 basis points above the benchmark rate), the entire curve has shifted upward in parallel by 240 to 290 basis points. When the 10-year yield reached 5% in October 2023, the curve was deeply inverted—a "tightening shape"; today’s is a "term premium shape." These are entirely different phenomena.

Chart: Yield curve spreads over policy rate (in basis points), eight historical cross-sections; darker red indicates higher premiums collected by the Treasury. Source: WuBlockchain

Key conclusion: The damage is structural, not localized. Policy expectations can only explain the short end (two-year yields 68 basis points above EFFR); the long end is pure term premium, centered at the 20-year maturity—where the market charges the highest premium in the U.S. The pure duration premium has reached two-thirds of the 1994 vigilante peak. A parallel shift of 240 to 290 basis points along the curve over 26 months is a hallmark of institutional repricing—cyclical steepening is rotational, while structural change is parallel.

Two: Tied with Germany for second place, tied with India for short-end

Applying the same metric to major economies (Figure 3) yields a counterintuitive result: measured by "10-year yield minus policy rate," the U.S. (+102 bps) is nearly tied with Germany (+88 bps), outperforming the U.K. (+125 bps), France (+167 bps), Italy (+169 bps), and Japan (+178 bps). But 2026 was the year of the global energy shock: the ECB, BoJ, RBA, BOK, and RBNZ all shifted hawkish, causing term premiums to rise in sync across the developed world. The U.S.’s mid-tier ranking is partly obscured by the fact that everyone else in the room was even more crowded.

Chart: Ranking of sovereign country term spreads (10-year yield minus policy rate), with the U.S. and Germany tied. Source: WuBlockchain

Decomposed by curve segments, three details are worth noting.

First, on the short end (two-year minus policy rate), the U.S. (+68 bps) is virtually tied with India (+72 bps), Italy (+74 bps), and France (+71 bps)—a BBB-rated emerging market whose short-end pricing is only 4 basis points higher than that of the global reserve currency issuer. Fairly speaking, this segment primarily reflects the shared pricing of the 2026 tightening cycle, reflecting a policy narrative rather than a credit narrative; but it also means the Fed’s credibility no longer provides any short-end discount for U.S. Treasuries.

Second, in the long-end ranking (30-year yield minus policy rate), the U.S. remains on the "core credit" side, but leads only the U.K. and India by one position. The full ranking is: Japan (+288 bps) > Italy (+250 bps) > France (+244 bps) > India (+215 bps) > U.K. (+192 bps) > U.S. (+149 bps) ≈ Canada (+155 bps) > Germany (+136 bps) > Australia (+118 bps) > China (+79 bps).

Third, the U.S. impact is characterized by a broad upward shift of the entire curve, rather than a sharp rise in the long end: the U.S. 30Y-10Y slope (+47 basis points) is nearly identical to Germany (+48 basis points) and Australia (+51 basis points), and markedly different from Japan (+110 basis points) or Italy (+81 basis points).

Including debt stock, the picture becomes more operationally meaningful. Dividing the 10-year spread by the debt-to-GDP ratio yields the market’s charge per unit of debt (Figure 4): India at approximately 2.6, France at 1.45, Germany at 1.40, the UK and Italy at around 1.25—while the U.S. is only 0.85, the lowest in the table aside from Japan (0.77), whose central bank is itself the ultimate buyer. The market continues to grant U.S. Treasuries a “reserve currency discount.” If this discount reverts to the G10 median (approximately 1.25), the 10-year spread would widen to 150–170 basis points—leaving roughly 50 basis points of “normalization” upside, requiring no crisis, only a market cessation of pricing in this privilege. Japan illustrates another endpoint: the central bank routinely purchases debt, compressing the spread to 0.77—at the cost of currency depreciation and central bank balance sheet expansion.

Chart: Government Debt-to-GDP Ratio vs. 10-Year Spread, with the U.S. “reserve currency discount” keeping it low. Source: WuBlockchain

The term premium model confirms the same conclusion. The ten-year term premium from the New York Fed’s ACM model has risen to +0.72%, while the San Francisco Fed’s Christensen-Rudebusch model shows it at +1.25%—compared to just +0.21% for the two-year premium: the damage is precisely concentrated at the long end. The San Francisco Fed’s decomposition reveals that the average expected overnight rate over the next decade accounts for only 3.47% of the ten-year yield, below the current EFFR; the remaining approximately 1.25 percentage points represent a pure term premium: the elevated long-end yields can no longer be explained by “market expectations of Fed tightening”—they are straightforward sovereign credit and duration premiums. Between 2016 and 2021, this premium was negative—global safe asset scarcity provided a subsidy to U.S. Treasuries. The reversal of this subsidy is precisely the essence of this repricing.

Key conclusion: On a cross-sectional basis, the U.S. and Germany are tied, positioned within the same group as Canada and the U.K., and aligned with India on the short end—but as the issuer of the global reserve currency, it has historically been expected to trade systematically below this benchmark. Its "unit debt spread" is 0.85, the lowest among all countries except Japan (0.77), which is supported by its central bank. The reserve currency discount still exists, but the mean reversion to the G10 median of 1.25 implies approximately 50 basis points of "normalization" potential in long-term yields, requiring no crisis—only for markets to stop pricing in this privilege.

Three: Bimodal Pricing in the Options Market

The cash curve tells us what has already been priced in; the options market tells us what is still causing concern. As of July 28, four markets are telling four different stories:

Figure: Table 1—Option Cross-Section: Four Markets, Four Pricing Models (End of July 2026). Source: WuBlockchain

These metrics show internal inconsistencies: interest rate options, the SKEW index, and gold volatility are pricing in fiscal stress, while 25-delta equity skew and bitcoin volatility still reflect a “business as usual” scenario. In plain terms, the market is pricing a bimodal distribution: a low-volatility inertial center, discontinuous fiscal events in the tails, and a gap in between. Historically, this gap has almost always converged as equity volatility catches up to interest rate volatility—this script played out in October 2022 and October 2023—and the flatness of the 25-delta skew implies that equity downside protection is undervalued relative to the risks implied by the interest rate market.

The meaning of cross-asset is best interpreted on a market-by-market basis.

U.S. equities: Three transmission channels. The discount rate channel compresses valuation multiples, hitting long-duration growth stocks first; the Kalecki profit channel—where a fiscal deficit of approximately 7% of GDP is accounting-wise equivalent to private sector surplus and nominal corporate profits—supports nominal earnings, creating a slowly grinding, narrowly structured index; the correlation channel keeps equity-bond correlations positive, stripping away the diversification benefits of 60/40 portfolios and risk parity strategies, forcing volatility-targeting funds to deleverage in sync during interest rate volatility spillovers. Winners are companies with pricing power, energy stocks, and banks benefiting from a steeper yield curve; losers are long-duration tech stocks, bond substitutes, and small-caps reliant on floating-rate financing.

Commodities: Gold serves as a hedge against de-dollarization, while oil acts as a near-term driver. In this event, gold has been chosen by the market as the "hedge against de-dollarization"—despite a 27% correction, its implied volatility remains anchored between 21 and 22, with intact bullish skew, indicating that central bank buying as a floor and the options market’s insurance structure remain unchanged; oil is driving a hawkish short end, priced as "range-bound with bullish skew."

Cryptocurrency: The harshest verdict of 2026. In the first true year of sovereign credit stress, capital chose gold over Bitcoin. Bitcoin traded throughout the year as a liquidity beta, suppressed by high real interest rates; its narrative as a hedge against currency depreciation requires a second stage—central banks being forced to monetize fiscal deficits—rather than the current first-stage environment of hawkish short rates and rising term premiums.

Key takeaway: The options market is pricing a bimodal distribution—interest rate options, SKEW, and gold volatility have already priced in fiscal stress, while 25-delta equity skew and bitcoin volatility continue to price in business as usual. Historically, this gap has converged as equity volatility catches up to interest rate volatility—in a context where the center is calm but the tails are expensive, downside convexity at the 25-delta level is undervalued.

Four outcomes are revealed by history.

The U.S. sovereign credibility has previously been damaged four times, and the outcome menu is fixed.

1933: Creditors' terms rewritten. Roosevelt abolished the gold clause in government debt, a move upheld by the Supreme Court in the Perry case—technically, the U.S. had already set a precedent for rewriting creditors' terms.

1942 to 1951: Fiscal dominance, literally. The Fed directly anchored the yield curve (short-term debt at 3/8%, long-term debt at 2.5%) to meet wartime needs; the outcome was an inflation tax of 15 to 20% from 1946 to 1948, and the 1951 Treasury-Fed Accord, which restored the Fed’s independence. This serves as the template for “what happens when independence is lost”: yield curve control.

1971 to 1981: The closest analogy to today. Nixon pressured Burns, leading to a loss of central bank credibility; during the easing cycle from 1975 to 1977, long-term rates refused to follow lower—exactly mirroring today’s yield curve shape. The outcome was the 1978 dollar crisis, forcing the Treasury to issue “Carter bonds” denominated in German marks and Swiss francs, and Volcker raising interest rates to 20% to restore credibility.

1992 to 1994: The template for a happy ending. Bond vigilantes crushed Clinton’s stimulus plan, forcing the passage of the 1993 Deficit Reduction Act, and were rewarded with budget surpluses from 1998 to 2001 and narrowing spreads.

There is only one pattern: the outcome is either fiscal consolidation (1950s, 1990s), inflation and monetary subordination (1940s, 1970s), or an external discipline event (Volcker). Default has never occurred in history, and each resolution has only made the dollar system more entrenched. Therefore, “deep damage” is not inevitable—but in today’s political landscape of 2026, there is neither a Volcker nor a Clinton, which is precisely why options markets are pricing in such expensive tail risks.

Key takeaway:

The menu of endings has always offered only three options: fiscal consolidation (1950s, 1990s), inflation and monetary subordination (1940s, 1970s), or an external discipline event (Volcker). Default has never occurred—each repair has made the dollar system stronger. Damage is not destiny; but in the 2026 political landscape, there is neither a Volcker nor a Clinton, which is why the tail risk is so expensive.

Five: Trump: An Accelerator, Not a Starting Point

Blaming this repricing entirely on the Trump administration is inconsistent with the timeline: the bear steepening divergence between the 10-year Treasury yield and the federal funds rate began in September 2024—before Trump took office. A complete attribution involves three layers.

The foundation was jointly laid by both parties (2008–2021): crisis response, tax cuts enacted during full employment in 2017, two rounds of COVID-19 stimulus, and QE driving term premiums into negative territory—this subsidy led two generations of lawmakers to believe deficits were free.

The trigger was pulled between 2022 and 2024: inflation surged, activating the arithmetic logic of "r > g"; quantitative tightening removed the marginal buyers of duration; Russia’s reserves were frozen in February 2022, spurring global reserve diversification; and Fitch (August 2023) and Moody’s (May 2025) successively stripped the U.S. of its top credit rating.

Trump 2.0 is an accelerator, driving momentum through three channels: a GDP deficit of approximately 7% under full employment—an unprecedented level during peacetime; openly pressuring the Federal Reserve and manipulating personnel appointments, eroding the "independence premium"; and tariffs combined with immigration restrictions prolonging inflationary persistence, firmly anchoring short-term interest rates in hawkish territory.

In other words, Trump was neither the direct cause nor irrelevant—he is best understood as both a symptom and an amplifier of the fiscal imbalances that emerged after 2008 (voters rewarding deficits, with bipartisan complicity). Even a successor committed to fiscal conservatism could only slow, not reverse, this trajectory: a debt-to-GDP ratio of 120% and r > g require primary fiscal surpluses, yet no candidate in 2024 made this a central campaign platform.

Key takeaway:

Blaming Trump entirely doesn’t hold up chronologically—the steepening bear market divergence began in September 2024, before he took office; claiming it’s unrelated to Trump also fails on marginal contribution—the nearly 7% deficit under full employment and the discounted premium on Fed independence are tangible new variables. The debt foundation was built by both parties (2008–2021), the trigger was pulled between 2022 and 2024, and Trump 2.0 is an accelerator—and simultaneously a symptom of the same fiscal equilibrium.

Six: Emerging Markets and the "Neutral" Strategy: Two Forms of the Same Storm

For emerging markets, the shock arrived in the form of a fork—in the very week this article was written, this fork unfolded in its most extreme form.

(1) AI Hardware Economy: The Leverage Frenzy Ends with Liquidations

The Korean KOSPI approached a peak of 9,400 points in late June, with its year-to-date gain一度 reaching as high as 116%. On July 8, the index entered a technical bear market; on July 13, it plunged 8.95% on "Black Monday"; on July 24, it fell another 5.73%; and on July 28, it crashed 12.84%, triggering the eighth market-wide circuit breaker of the year, closing at 6,023.66 points—a maximum drawdown of over one-third from its peak. Samsung Electronics and SK Hynix declined 13.39% and 14.65%, respectively, on that day.

Retail leverage is an amplifier. The 16 approved two-times leveraged ETFs on individual stocks attracted nearly 12 trillion KRW within 50 days—over 90% of which flowed into Samsung and SK Hynix—triggering a death spiral of "decline → forced rebalancing sell-offs → further decline," resulting in over 1.2 million leveraged accounts receiving margin calls and hundreds of thousands being forcibly liquidated. Since the beginning of the year, the exchange has triggered 40 sidecar mechanisms and 8 circuit breakers; the KOSPI volatility index closed at 97.99 at the end of June, nearing its historical high.

The transmission chain is clearly traceable. Meta’s newly issued $12.5 billion data center bond was priced at approximately 5.0%, significantly higher than the ~4.2% rate at issuance in 2025—indicating that the discount rate for AI capital expenditures is being repriced. TSMC’s June revenue turned negative month-over-month, while its capital expenditure guidance was raised above $60 billion, triggering a global sell-off in chips amid concerns of “peak compute, excess memory.” South Korea, the most concentrated economy along this supply chain (with two stocks accounting for over half the index’s total market cap), has the highest retail leverage, yet its central bank continues raising rates, and the won remains weak despite large trade surpluses. China’s A-share market moved in tandem: On July 28, the ChiNext Index plunged 7.35%, posting its largest single-day drop in over a year; the SSE Composite barely held above 3,800 points, with storage, optical modules, and semiconductors leading the decline, while banks and liquor stocks rose against the trend.

(2) Hedge Failure and a Weak Dollar: This Is Not a Taper Tantrum

The clearest indication of the shift in policy regime is the breakdown of bond hedging: on July 28, as Asian markets crashed, the yield on 10-year U.S. Treasuries did not fall but remained anchored in the 4.6%–4.7% range—the traditional “stocks down, bonds up” relationship failed to materialize. On the same day, Nasdaq futures fell 2.29%, while Dow futures rose 1.12%; cash-rich software stocks advanced, while chip stocks declined. This was not a recession panic, but a repricing of discount rates and cash flow duration: capital did not exit the market, but shifted from long-duration assets to cash-generating assets—this is the standard signal of fiscal dominance, where equities and bonds move in tandem, and systemic duration repricing occurs.

The position of the dollar is equally noteworthy: on July 28, the U.S. Dollar Index closed at approximately 101.6, near the lower end of its multi-year range. This differs from the 2013 taper tantrum, which was characterized by a strong dollar squeeze; here, the risk stems from U.S. fiscal pressures and AI-related refinancing, with the dollar failing to strengthen amid the shock. IIF data shows net outflows of $26.6 billion from non-resident portfolio investments in May and $17.8 billion in June, following a record inflow of $98.8 billion in January—representing a complete stress sequence since the Iran war (Figure 5).

Chart: Emerging Market Portfolio Flows: From Record Inflows in January to Two Consecutive Months of Net Outflows. Source: IIF

Derivative pricing aligns with spot markets: South Korea’s five-year CDS is only 52.5 bps, while China’s is 31 bps—credit markets have not yet priced in stress; pressure is concentrated on capital flows and volatility—again exhibiting a bimodal pattern of calm center and shifting tails. China’s position is particularly unique: its ten-year government bond yield stands at 1.73%, the lowest among all curves and policy spreads in the table; CDS remains tranquil; the Hang Seng Index rose 9.9% in July—the “inverse pole” of the global term premium storm, exporting deflationary pressures while attracting demand for RMB assets from reserve diversification. The decline in A-shares reflects a confluence of global AI supply chain repricing and domestic liquidity events—the CSMC IPO of RMB 57.9 billion (the largest ever on the STAR Market, freezing approximately RMB 1.7 trillion in subscription funds), extreme overcrowding (TMT trading volume exceeding 45%), and ten consecutive days of declining margin loan balances—this is structural deleveraging, not a systemic bear market.

(3) Neutrality Is Not Immunity: Three Transmission Channels

For the "strictly neutral" strategy—volatility strategy, dollar-neutral long/short, statistical arbitrage—it is essential to dispel a misconception: neutrality hedges directional risk, not policy mechanism risk. Shocks are transmitted through three channels.

Funding channels: EFFR at 3.63%, short-term Treasuries at 3.8%–4.0%; cash thresholds for each neutral strategy are approximately 400 bps higher—total exposure requires an additional 400 bps just to break even, while leverage costs (repo, swap financing, securities lending) have risen in tandem.

Relevant channels: In a world where equities and bonds move in tandem, "dollar-neutral" does not equal "duration-neutral"—a long-growth, short-value portfolio implies a short duration exposure; interest-rate-driven factor rotation can trigger concentrated unwinding of crowded positions (the 2022 "quant winter" serves as a template); during tail events, pairwise correlations approach 1, first compressing the Sharpe ratio of statistical arbitrage strategies.

Crowded trade: When term premium becomes the dominant macro variable, all macro-driven quantitative funds simultaneously reduce risk based on the same signal—neutral strategies rarely die from directional moves; they die from liquidity, crowding, and soaring correlations, as seen in the "quant quake" of August 2007, February 2018, and the UK LDI event of October 2022.

(IV) The Other Side of the Coin: The Historical Fertile Ground for Volatility Strategies

It must be noted that the current policy regime represents the most fertile ground in history for disciplined volatility strategies. AI-driven concentration offers diversification opportunities for the U.S. and South Korea—high single-stock volatility paired with low index volatility; the gap between 25-day flat stock skew and extreme SKEW index levels constitutes a time window for relative value volatility; and the spread between interest rate volatility and equity volatility presents a negative carry but positive expected convergence trade.

What truly needs to be avoided is leverage carry and short gamma: a bimodal distribution implies elevated jump risk, and margin and VaR shocks always force deleveraging at the worst possible moments. For multi-strategy funds built around volatility and derivatives, current policy mechanisms can be condensed into one sentence: exposure hasn’t disappeared—it has migrated from delta to gamma, funding, and crowding. The term premium itself has become a directly tradable risk factor: go long 10s20s steepening, go long back-end payer volatility, go long gold 25d call skew, go long equity downside convexity (while 25d skew remains flat)—the three-legged trades are pricing the same thing, and their pricing discrepancies are themselves the source of alpha.

Key takeaway:

Two ends of the same chain: South Korea’s leveraged liquidations represent the convergence of “Treasury term premium → AI financing costs → long-duration repricing” with an extremely fragile retail microstructure; weak dollar, unchanged credit, and failed bond hedges demonstrate this is a policy-driven repricing, not a dollar squeeze or recession panic. For neutral strategies, exposure has not disappeared—it has migrated from delta to gamma, funding, and crowding.

Seven: Alternative to Conclusion: Monitoring Checklist

This repricing is neither confirmation of a "crash" narrative nor a continuation of "excessive privilege" as usual. It resembles a hybrid of 1993 and 1975: still some distance in scale, but identical in mechanism. For investors, triggers are more useful than opinions:

Term premium: Whether the New York Fed’s ACM and San Francisco Fed’s CR readings continue to rise;

Equity skew gap: The direction in which the SPY 25d skew converges relative to the SKEW index;

Hedging structure: Resilience in gold 25d call skew, alongside a percentile turn in Bitcoin skew;

Supply digestion: Tail end of the 20-year U.S. Treasury auction;

Emerging markets: IIF monthly capital flow data, along with AI hardware economy tail-end frenzy tracked via VKOSPI and South Korean leveraged ETF sizes;

Policy mechanism signal: Do U.S. Treasury yields still refuse to decline on risk-off days— the failure of bond hedging itself is a signal.

When the unit debt spread converges from 0.85 to the G10 median of 1.25, and the 30Y–10Y slope shifts from +47 bps toward the UK-France形态, "deep damage" will evolve from a pricing structure into a pricing consensus. History shows that the window period before consensus forms is always the optimal entry point for such trades.

This report is based on publicly available data and reasonable assumptions and does not constitute investment advice.

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