# Protocol Dependency Mapping ⎊ Term

**Published:** 2026-03-24
**Author:** Greeks.live
**Categories:** Term

---

![A detailed abstract visualization featuring nested, lattice-like structures in blue, white, and dark blue, with green accents at the rear section, presented against a deep blue background. The complex, interwoven design suggests layered systems and interconnected components](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-layered-architecture-demonstrating-risk-hedging-strategies-and-synthetic-asset-interoperability.webp)

![A high-resolution abstract image displays smooth, flowing layers of contrasting colors, including vibrant blue, deep navy, rich green, and soft beige. These undulating forms create a sense of dynamic movement and depth across the composition](https://term.greeks.live/wp-content/uploads/2025/12/deep-dive-into-multi-layered-volatility-regimes-across-derivatives-contracts-and-cross-chain-interoperability-within-the-defi-ecosystem.webp)

## Essence

**Protocol Dependency Mapping** functions as the structural blueprint for risk assessment in decentralized finance. It identifies the cascading links between smart contracts, liquidity pools, and oracle providers that define the operational stability of any derivative instrument. When an options protocol relies on external collateral feeds or secondary lending platforms, the entire pricing engine becomes vulnerable to the failure of those constituent parts.

> Protocol Dependency Mapping quantifies systemic risk by tracing the interconnected pathways of liquidity and execution across decentralized financial architectures.

This analytical framework transcends simple asset valuation. It evaluates the integrity of the entire stack, recognizing that decentralized protocols operate as modular components within a larger, adversarial machine. By mapping these dependencies, architects gain visibility into how local shocks ⎊ such as a de-pegging event in a collateral asset or a governance exploit in an underlying lending market ⎊ propagate through derivative positions.

![A macro abstract visual displays multiple smooth, high-gloss, tube-like structures in dark blue, light blue, bright green, and off-white colors. These structures weave over and under each other, creating a dynamic and complex pattern of interconnected flows](https://term.greeks.live/wp-content/uploads/2025/12/systemic-risk-intertwined-liquidity-cascades-in-decentralized-finance-protocol-architecture.webp)

## Origin

The necessity for **Protocol Dependency Mapping** emerged from the rapid composability of early decentralized finance protocols, often termed money legos. Developers initially prioritized rapid deployment and interoperability, creating complex systems where one protocol’s function depended entirely on the successful execution of another’s logic. This design choice maximized capital efficiency but introduced hidden systemic fragilities.

- **Systemic Fragility**: Early decentralized markets lacked the robust stress-testing found in traditional derivatives, leading to unintended contagion when underlying smart contracts failed.

- **Interdependency Loops**: The practice of re-hypothecating assets across multiple protocols created circular dependencies where a single failure could trigger a sequence of forced liquidations.

- **Oracle Reliance**: The shift toward decentralized price discovery necessitated deep integration with external data feeds, turning these oracles into primary points of failure for derivative settlement engines.

As derivative volumes increased, market participants recognized that isolating the risk of a single protocol was insufficient. The focus shifted toward identifying the broader graph of technical and economic links that bind these systems together, forcing a move toward more disciplined architectural audits.

![A macro view details a sophisticated mechanical linkage, featuring dark-toned components and a glowing green element. The intricate design symbolizes the core architecture of decentralized finance DeFi protocols, specifically focusing on options trading and financial derivatives](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-interoperability-and-dynamic-risk-management-in-decentralized-finance-derivatives-protocols.webp)

## Theory

At the core of **Protocol Dependency Mapping** lies the concept of conditional failure propagation. Derivative protocols are not isolated environments; they are nodes within a graph where the health of a node is determined by its incoming edges. Quantitative models must account for these external variables, as the **Greeks** ⎊ specifically delta and gamma ⎊ are rendered inaccurate if the underlying collateral protocol enters a state of insolvency or becomes inaccessible.

> Systemic stability relies on the rigorous identification of secondary and tertiary failure points inherent in modular protocol architectures.

The mathematical representation of these dependencies involves mapping the **liquidation thresholds** and **margin requirements** across the entire stack. When a user deposits collateral into a lending protocol to mint synthetic options, they effectively create a multi-layered debt obligation. If the lending protocol experiences a technical glitch, the options protocol cannot accurately calculate the user’s solvency, potentially leading to a catastrophic failure of the margin engine.

| Dependency Type | Risk Characteristic | Impact on Derivatives |
| --- | --- | --- |
| Collateral Provider | Liquidity Contagion | Incorrect margin valuation |
| Oracle Network | Data Integrity | Erroneous strike price execution |
| Governance Layer | Parameter Instability | Sudden changes in collateral ratios |

![The image depicts several smooth, interconnected forms in a range of colors from blue to green to beige. The composition suggests fluid movement and complex layering](https://term.greeks.live/wp-content/uploads/2025/12/interconnected-asset-flow-dynamics-and-collateralization-in-decentralized-finance-derivatives.webp)

## Approach

Current practitioners of **Protocol Dependency Mapping** utilize on-chain data analysis and formal verification to stress-test these interconnected systems. The approach requires simulating adversarial scenarios where one or more dependencies are removed or manipulated. By evaluating the response of the derivative protocol under these conditions, architects determine the **systemic risk** exposure and design necessary circuit breakers.

- **Graph Reconstruction**: Map every smart contract call and asset flow between the derivative protocol and its external dependencies.

- **Adversarial Simulation**: Model the behavior of the margin engine when collateral assets experience extreme volatility or when liquidity providers withdraw from supporting protocols.

- **Sensitivity Analysis**: Quantify how fluctuations in the health of dependency protocols alter the delta, gamma, and vega of the derivative instruments.

This technical rigor prevents the blind acceptance of protocol security claims. It forces a realization that the safety of a derivative is only as strong as the weakest link in its dependency chain. Occasionally, the complexity of these connections reveals that a system is effectively a house of cards, where the underlying assumptions about liquidity are detached from the actual market realities.

![An abstract artwork featuring multiple undulating, layered bands arranged in an elliptical shape, creating a sense of dynamic depth. The ribbons, colored deep blue, vibrant green, cream, and darker navy, twist together to form a complex pattern resembling a cross-section of a flowing vortex](https://term.greeks.live/wp-content/uploads/2025/12/abstract-visualization-of-collateralized-debt-position-dynamics-and-impermanent-loss-in-automated-market-makers.webp)

## Evolution

The practice has evolved from manual, heuristic-based auditing toward automated, real-time monitoring systems. Initially, developers focused on simple, one-to-one dependencies. Now, the complexity has increased to include multi-chain architectures and cross-protocol liquidity bridges, necessitating sophisticated algorithmic mapping.

This shift mirrors the evolution of traditional financial engineering, where **counterparty risk** management became the primary concern following the 2008 financial crisis.

> Dynamic monitoring of inter-protocol links provides the essential defense against cascading liquidations in decentralized markets.

The integration of **smart contract security** audits with real-time on-chain monitoring has transformed how protocols manage risk. Modern systems now implement automated governance actions that adjust collateral parameters based on the observed health of external protocols. This transition marks the shift from static, reactive security models to active, proactive risk management that treats the entire decentralized environment as a singular, albeit fragmented, entity.

![A dark, futuristic background illuminates a cross-section of a high-tech spherical device, split open to reveal an internal structure. The glowing green inner rings and a central, beige-colored component suggest an energy core or advanced mechanism](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-autonomous-organization-architecture-unveiled-interoperability-protocols-and-smart-contract-logic-validation.webp)

## Horizon

The future of **Protocol Dependency Mapping** lies in the development of standardized, interoperable risk protocols that communicate dependency health directly to derivative engines. As decentralized finance scales, the manual mapping of these systems will become obsolete, replaced by autonomous, AI-driven agents that constantly re-evaluate the risk graph. This will allow for the creation of **dynamic margin requirements** that adjust in real-time to the changing risk profile of the entire dependency stack.

We are approaching a period where the architecture of a protocol will be judged not by its standalone features, but by its placement within the broader financial graph. Protocols that minimize dependencies will likely command higher trust, while those that embrace complex, interconnected structures must implement rigorous, automated safeguards to survive the inevitable stress of adversarial market cycles. The ability to navigate these dependencies will distinguish the robust financial strategies from the fragile ones.

## Glossary

### [Financial Protocol Analysis](https://term.greeks.live/area/financial-protocol-analysis/)

Framework ⎊ The study of financial protocol analysis encompasses the rigorous decomposition of smart contract logic and consensus mechanisms governing digital asset markets.

### [Protocol Failure Scenarios](https://term.greeks.live/area/protocol-failure-scenarios/)

Failure ⎊ Protocol failure scenarios, within cryptocurrency, options trading, and financial derivatives, represent deviations from expected operational behavior, potentially leading to financial losses, regulatory scrutiny, or systemic risk.

### [Dependency Network Analysis](https://term.greeks.live/area/dependency-network-analysis/)

Analysis ⎊ ⎊ Dependency Network Analysis, within cryptocurrency, options, and derivatives, represents a quantitative methodology for mapping interconnectedness and systemic risk.

### [Network Security Analysis](https://term.greeks.live/area/network-security-analysis/)

Analysis ⎊ ⎊ Network Security Analysis, within cryptocurrency, options trading, and financial derivatives, centers on evaluating the robustness of systems against malicious actors and systemic vulnerabilities.

### [Market Microstructure Dependencies](https://term.greeks.live/area/market-microstructure-dependencies/)

Algorithm ⎊ Market microstructure dependencies, within cryptocurrency and derivatives, are fundamentally shaped by the algorithmic trading strategies employed by various participants.

### [Oracle Dependency Analysis](https://term.greeks.live/area/oracle-dependency-analysis/)

Algorithm ⎊ Oracle Dependency Analysis, within cryptocurrency and derivatives, assesses the sensitivity of contract execution to the reliability of external data feeds.

### [Financial Contagion Analysis](https://term.greeks.live/area/financial-contagion-analysis/)

Analysis ⎊ Financial contagion analysis within cryptocurrency, options, and derivatives assesses the transmission of risk across interconnected market participants and instruments.

### [Risk Management Frameworks](https://term.greeks.live/area/risk-management-frameworks/)

Architecture ⎊ Risk management frameworks in cryptocurrency and derivatives function as the structural foundation for capital preservation and systematic exposure control.

### [Protocol Interconnection Modeling](https://term.greeks.live/area/protocol-interconnection-modeling/)

Architecture ⎊ Protocol Interconnection Modeling, within the context of cryptocurrency, options trading, and financial derivatives, fundamentally concerns the design and analysis of systems enabling seamless communication and data exchange between disparate protocols.

### [Blockchain Network Stability](https://term.greeks.live/area/blockchain-network-stability/)

Architecture ⎊ Blockchain network stability, within cryptocurrency and derivatives, fundamentally relies on the underlying architectural design’s capacity to maintain consistent state propagation and consensus mechanisms.

## Discover More

### [Wrapped Asset Dependency](https://term.greeks.live/definition/wrapped-asset-dependency/)
![The image depicts stratified, concentric rings representing complex financial derivatives and structured products. This configuration visually interprets market stratification and the nesting of risk tranches within a collateralized debt obligation framework. The inner rings signify core assets or liquidity pools, while the outer layers represent derivative overlays and cascading risk exposure. The design illustrates the hierarchical complexity inherent in decentralized finance protocols and sophisticated options trading strategies, highlighting potential systemic risk propagation.](https://term.greeks.live/wp-content/uploads/2025/12/layered-risk-tranches-in-decentralized-finance-derivatives-modeling-and-market-liquidity-provisioning.webp)

Meaning ⎊ The risk exposure created by relying on tokenized versions of assets that are held by third-party custodians or bridges.

### [Smart Contract Patching](https://term.greeks.live/definition/smart-contract-patching/)
![This abstraction illustrates the intricate data scrubbing and validation required for quantitative strategy implementation in decentralized finance. The precise conical tip symbolizes market penetration and high-frequency arbitrage opportunities. The brush-like structure signifies advanced data cleansing for market microstructure analysis, processing order flow imbalance and mitigating slippage during smart contract execution. This mechanism optimizes collateral management and liquidity provision in decentralized exchanges for efficient transaction processing.](https://term.greeks.live/wp-content/uploads/2025/12/implementing-high-frequency-quantitative-strategy-within-decentralized-finance-for-automated-smart-contract-execution.webp)

Meaning ⎊ The controlled process of fixing code vulnerabilities and improving protocol efficiency in an immutable environment.

### [Protocol Health Assessment](https://term.greeks.live/term/protocol-health-assessment/)
![A stylized layered structure represents the complex market microstructure of a multi-asset portfolio and its risk tranches. The colored segments symbolize different collateralized debt position layers within a decentralized protocol. The sequential arrangement illustrates algorithmic execution and liquidity pool dynamics as capital flows through various segments. The bright green core signifies yield aggregation derived from optimized volatility dynamics and effective options chain management in DeFi. This visual abstraction captures the intricate layering of financial products.](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-execution-and-multi-asset-hedging-strategies-in-decentralized-finance-protocol-layers.webp)

Meaning ⎊ Protocol Health Assessment quantifies the solvency and risk-adjusted sustainability of decentralized derivative platforms via real-time data analysis.

### [Net Exposure Risk](https://term.greeks.live/definition/net-exposure-risk/)
![A layered abstract composition represents complex derivative instruments and market dynamics. The dark, expansive surfaces signify deep market liquidity and underlying risk exposure, while the vibrant green element illustrates potential yield or a specific asset tranche within a structured product. The interweaving forms visualize the volatility surface for options contracts, demonstrating how different layers of risk interact. This complexity reflects sophisticated options pricing models used to navigate market depth and assess the delta-neutral strategies necessary for managing risk in perpetual swaps and other highly leveraged assets.](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-modeling-of-layered-structured-products-options-greeks-volatility-exposure-and-derivative-pricing-complexity.webp)

Meaning ⎊ The total risk of a portfolio considering all combined long and short positions and their sensitivity to market moves.

### [State State Trie Pruning](https://term.greeks.live/definition/state-state-trie-pruning/)
![A high-tech automated monitoring system featuring a luminous green central component representing a core processing unit. The intricate internal mechanism symbolizes complex smart contract logic in decentralized finance, facilitating algorithmic execution for options contracts. This precision system manages risk parameters and monitors market volatility. Such technology is crucial for automated market makers AMMs within liquidity pools, where predictive analytics drive high-frequency trading strategies. The device embodies real-time data processing essential for derivative pricing and risk analysis in volatile markets.](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-risk-management-algorithm-predictive-modeling-engine-for-options-market-volatility.webp)

Meaning ⎊ Removing redundant historical data from the blockchain state to enhance real-time performance and node efficiency.

### [State Dependency Analysis](https://term.greeks.live/definition/state-dependency-analysis/)
![A smooth, dark form cradles a glowing green sphere and a recessed blue sphere, representing the binary states of an options contract. The vibrant green sphere symbolizes the “in the money” ITM position, indicating significant intrinsic value and high potential yield. In contrast, the subdued blue sphere represents the “out of the money” OTM state, where extrinsic value dominates and the delta value approaches zero. This abstract visualization illustrates key concepts in derivatives pricing and protocol mechanics, highlighting risk management and the transition between positive and negative payoff structures at contract expiration.](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-visualization-of-options-contract-state-transition-in-the-money-versus-out-the-money-derivatives-pricing.webp)

Meaning ⎊ The systematic mapping of relationships between variables and contracts to identify vulnerabilities in state management.

### [Flash Crash Simulation](https://term.greeks.live/term/flash-crash-simulation/)
![A detailed cutaway view of an intricate mechanical assembly reveals a complex internal structure of precision gears and bearings, linking to external fins outlined by bright neon green lines. This visual metaphor illustrates the underlying mechanics of a structured finance product or DeFi protocol, where collateralization and liquidity pools internal components support the yield generation and algorithmic execution of a synthetic instrument external blades. The system demonstrates dynamic rebalancing and risk-weighted asset management, essential for volatility hedging and high-frequency execution strategies in decentralized markets.](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-algorithmic-execution-models-in-decentralized-finance-protocols-for-synthetic-asset-yield-optimization-strategies.webp)

Meaning ⎊ Flash Crash Simulation serves as a critical stress-testing mechanism to identify and mitigate systemic failure points in decentralized financial protocols.

### [Risk Propagation Modeling](https://term.greeks.live/term/risk-propagation-modeling/)
![A detailed cross-section of a mechanical bearing assembly visualizes the structure of a complex financial derivative. The central component represents the core contract and underlying assets. The green elements symbolize risk dampeners and volatility adjustments necessary for credit risk modeling and systemic risk management. The entire assembly illustrates how leverage and risk-adjusted return are distributed within a structured product, highlighting the interconnected payoff profile of various tranches. This visualization serves as a metaphor for the intricate mechanisms of a collateralized debt obligation or other complex financial instruments in decentralized finance.](https://term.greeks.live/wp-content/uploads/2025/12/collateralized-loan-obligation-structure-modeling-volatility-and-interconnected-asset-dynamics.webp)

Meaning ⎊ Risk Propagation Modeling identifies and quantifies the transmission of financial shocks through interconnected decentralized protocols.

### [Decentralized Protocol Risk](https://term.greeks.live/term/decentralized-protocol-risk/)
![Abstract rendering depicting two mechanical structures emerging from a gray, volatile surface, revealing internal mechanisms. The structures frame a vibrant green substance, symbolizing deep liquidity or collateral within a Decentralized Finance DeFi protocol. Visible gears represent the complex algorithmic trading strategies and smart contract mechanisms governing options vault settlements. This illustrates a risk management protocol's response to market volatility, emphasizing automated governance and collateralized debt positions, essential for maintaining protocol stability through automated market maker functions.](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-autonomous-organization-governance-and-automated-market-maker-protocol-architecture-volatility-hedging-strategies.webp)

Meaning ⎊ Decentralized Protocol Risk defines the systemic probability of automated financial failure due to technical, economic, or governance vulnerabilities.

---

## Raw Schema Data

```json
{
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
        {
            "@type": "ListItem",
            "position": 1,
            "name": "Home",
            "item": "https://term.greeks.live/"
        },
        {
            "@type": "ListItem",
            "position": 2,
            "name": "Term",
            "item": "https://term.greeks.live/term/"
        },
        {
            "@type": "ListItem",
            "position": 3,
            "name": "Protocol Dependency Mapping",
            "item": "https://term.greeks.live/term/protocol-dependency-mapping/"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "Article",
    "mainEntityOfPage": {
        "@type": "WebPage",
        "@id": "https://term.greeks.live/term/protocol-dependency-mapping/"
    },
    "headline": "Protocol Dependency Mapping ⎊ Term",
    "description": "Meaning ⎊ Protocol Dependency Mapping identifies systemic risks by tracing interconnected dependencies between decentralized protocols and their liquidity sources. ⎊ Term",
    "url": "https://term.greeks.live/term/protocol-dependency-mapping/",
    "author": {
        "@type": "Person",
        "name": "Greeks.live",
        "url": "https://term.greeks.live/author/greeks-live/"
    },
    "datePublished": "2026-03-24T20:27:32+00:00",
    "dateModified": "2026-04-12T03:51:33+00:00",
    "publisher": {
        "@type": "Organization",
        "name": "Greeks.live"
    },
    "articleSection": [
        "Term"
    ],
    "image": {
        "@type": "ImageObject",
        "url": "https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-collateralized-debt-position-mechanism-representing-risk-hedging-liquidation-protocol.jpg",
        "caption": "A high-resolution, abstract 3D rendering showcases a futuristic, ergonomic object resembling a clamp or specialized tool. The object features a dark blue matte finish, accented by bright blue, vibrant green, and cream details, highlighting its structured, multi-component design."
    }
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "WebPage",
    "@id": "https://term.greeks.live/term/protocol-dependency-mapping/",
    "mentions": [
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/financial-protocol-analysis/",
            "name": "Financial Protocol Analysis",
            "url": "https://term.greeks.live/area/financial-protocol-analysis/",
            "description": "Framework ⎊ The study of financial protocol analysis encompasses the rigorous decomposition of smart contract logic and consensus mechanisms governing digital asset markets."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/protocol-failure-scenarios/",
            "name": "Protocol Failure Scenarios",
            "url": "https://term.greeks.live/area/protocol-failure-scenarios/",
            "description": "Failure ⎊ Protocol failure scenarios, within cryptocurrency, options trading, and financial derivatives, represent deviations from expected operational behavior, potentially leading to financial losses, regulatory scrutiny, or systemic risk."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/dependency-network-analysis/",
            "name": "Dependency Network Analysis",
            "url": "https://term.greeks.live/area/dependency-network-analysis/",
            "description": "Analysis ⎊ ⎊ Dependency Network Analysis, within cryptocurrency, options, and derivatives, represents a quantitative methodology for mapping interconnectedness and systemic risk."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/network-security-analysis/",
            "name": "Network Security Analysis",
            "url": "https://term.greeks.live/area/network-security-analysis/",
            "description": "Analysis ⎊ ⎊ Network Security Analysis, within cryptocurrency, options trading, and financial derivatives, centers on evaluating the robustness of systems against malicious actors and systemic vulnerabilities."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/market-microstructure-dependencies/",
            "name": "Market Microstructure Dependencies",
            "url": "https://term.greeks.live/area/market-microstructure-dependencies/",
            "description": "Algorithm ⎊ Market microstructure dependencies, within cryptocurrency and derivatives, are fundamentally shaped by the algorithmic trading strategies employed by various participants."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/oracle-dependency-analysis/",
            "name": "Oracle Dependency Analysis",
            "url": "https://term.greeks.live/area/oracle-dependency-analysis/",
            "description": "Algorithm ⎊ Oracle Dependency Analysis, within cryptocurrency and derivatives, assesses the sensitivity of contract execution to the reliability of external data feeds."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/financial-contagion-analysis/",
            "name": "Financial Contagion Analysis",
            "url": "https://term.greeks.live/area/financial-contagion-analysis/",
            "description": "Analysis ⎊ Financial contagion analysis within cryptocurrency, options, and derivatives assesses the transmission of risk across interconnected market participants and instruments."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/risk-management-frameworks/",
            "name": "Risk Management Frameworks",
            "url": "https://term.greeks.live/area/risk-management-frameworks/",
            "description": "Architecture ⎊ Risk management frameworks in cryptocurrency and derivatives function as the structural foundation for capital preservation and systematic exposure control."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/protocol-interconnection-modeling/",
            "name": "Protocol Interconnection Modeling",
            "url": "https://term.greeks.live/area/protocol-interconnection-modeling/",
            "description": "Architecture ⎊ Protocol Interconnection Modeling, within the context of cryptocurrency, options trading, and financial derivatives, fundamentally concerns the design and analysis of systems enabling seamless communication and data exchange between disparate protocols."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/blockchain-network-stability/",
            "name": "Blockchain Network Stability",
            "url": "https://term.greeks.live/area/blockchain-network-stability/",
            "description": "Architecture ⎊ Blockchain network stability, within cryptocurrency and derivatives, fundamentally relies on the underlying architectural design’s capacity to maintain consistent state propagation and consensus mechanisms."
        }
    ]
}
```


---

**Original URL:** https://term.greeks.live/term/protocol-dependency-mapping/