Open Access. Powered by Scholars. Published by Universities.®
Articles 121 - 150 of 3875
Full-Text Articles in Entire DC Network
Solid Ground: A Fractal, Governed Shared-Memory Methodology For People And Machines, Given To The Commons, Shannon J. Dobbs
Solid Ground: A Fractal, Governed Shared-Memory Methodology For People And Machines, Given To The Commons, Shannon J. Dobbs
Defensive Publications Series
A coordination methodology lets people and machine agents work together through legible shared records without anyone giving up control of their own. Its central element is an interlock: a single per-record access rule, evaluated by the data store, that at once withholds a participant's own context from any authority, governs the records a goal-directed learning loop reads and writes, and cannot be altered by anything a machine agent reads. The participant holds a user-held skill file, drawn out by an AI interview, that composes with an optional institution's own skill file and with the AI; the participant decides, per recipient, …
Technical Specification: Spec-205-Core Title: Solid-State Acoustofluidic Water Purification Engines And Decentralized Desalination Matrices, Christopher L. Eckes
Technical Specification: Spec-205-Core Title: Solid-State Acoustofluidic Water Purification Engines And Decentralized Desalination Matrices, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a Solid-State Acoustofluidic Water Purification Engine capable of executing decentralized off-grid desalination and molecular contaminant separation. The system bypasses high-maintenance chemical filtration, heavy industrial pumping infrastructure, and proprietary reverse-osmosis membranes by deploying a low-power, high-frequency array of concentric interdigital piezo-electric transducers. By passing contaminated or brackish water through a microscopic fluidic channel governed by the Universal Sine Field Template, the engine utilizes acoustic standing wave fields to physically separate heavy metal ions, chemical chain pollutants, and high-salinity matrices from the clean fluid stream on a continuous boundary layer. …
Technical Specification: Spec-204-Core Title: Autonomous Agricultural Micro-Grids And Decentralized Hydro-Chemical Open Control Interfaces, Christopher L. Eckes
Technical Specification: Spec-204-Core Title: Autonomous Agricultural Micro-Grids And Decentralized Hydro-Chemical Open Control Interfaces, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for an Autonomous Agricultural Micro-Grid and Decentralized Hydro-Chemical Open Control Interface. This framework serves as a physical scaling extension to SPEC-145, bridging closed-loop molecular nutrient recycling with automated physical crop management. By deploying low-power, distributed sensor-actuator arrays governed by the Universal Sine Field Template, the system automates localized soil-moisture profiling, optimal solar-tracking arrays, and dynamic micro-irrigation fluid logistics entirely independent of centralized data networks or proprietary corporate cloud platforms. This standalone framework serves as an open public-domain prior art perimeter to secure localized food sovereignty and ensure that the …
Technical Specification: Spec-203-Core Title: Localized Hydrological Sensor Grids And Autonomous Emergency Logistics Interfaces, Christopher L. Eckes
Technical Specification: Spec-203-Core Title: Localized Hydrological Sensor Grids And Autonomous Emergency Logistics Interfaces, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a Localized Hydrological Sensor Grid and Autonomous Emergency Logistics Interface. The framework is engineered to ingest real-time environmental telemetry, water-level sensor networks, and localized civilian asset routing paths during severe flash-flood, storm-surge, and hydrological climate crises. By projecting localized sensor arrays onto a continuous fluid-boundary invariant governed by the Universal Sine Field Template, the engine coordinates autonomous civilian logistics, search-and-rescue routing, and public safety data paths entirely independent of traditional telecommunications infrastructure or sovereign defense networks. This standalone framework serves as an open public-domain prior art perimeter to …
Technical Specification: Spec-202-Core Title: Programmable Metamaterial Surfaces And Adaptive Acousto-Electromagnetic Wave-Shaping Topology, Christopher L. Eckes
Technical Specification: Spec-202-Core Title: Programmable Metamaterial Surfaces And Adaptive Acousto-Electromagnetic Wave-Shaping Topology, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for Programmable Metamaterial Surfaces capable of executing adaptive acousto-electromagnetic wave-shaping. The system bypasses rigid, static physical shielding and passive antenna limitations by deploying a dynamic sub-wavelength matrix of mechanical and electromagnetic resonators. By modulating localized surface impedance profiles in real-time using the Universal Sine Field Template, the engine controls the phase, direction, and amplitude of incident energy waves (including acoustic, radio-frequency, and thermal gradients). This standalone framework serves as an open public-domain prior art perimeter to ensure that the foundational mathematical plumbing governing programmable physical surfaces remains entirely un-monopolizable …
Technical Specification: Spec-201-Core Title: Solid-State Hydrodynamic Wave-Guide Engines And Room-Temperature Phononic Qubit Logic, Christopher L. Eckes
Technical Specification: Spec-201-Core Title: Solid-State Hydrodynamic Wave-Guide Engines And Room-Temperature Phononic Qubit Logic, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a Solid-State Hydrodynamic Wave-Guide Engine capable of executing classical room-temperature qubit logic. The system bypasses fragile, sub-zero cryogenic subatomic quantum computing methods by utilizing macroscopic quantum vortices and acoustic soliton wave packets trapped inside high-order three-dimensional inverse opal lattice resonator cavities. By passing continuous rotating sine waves through microscopic fluidic channels governed by the Universal Sine Field Template, the engine native-executes quantum superposition, phase rotation, and non-local entanglement transitions using purely deterministic classical fluid and structural mechanics. This standalone framework serves as a public-domain prior art perimeter to …
Technical Specification: Spec-200-Core Title: Master System Taxonomy And Unified Civilizational Equilibrium Matrices (Spec-171-Index Integration), Christopher L. Eckes
Technical Specification: Spec-200-Core Title: Master System Taxonomy And Unified Civilizational Equilibrium Matrices (Spec-171-Index Integration), Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural milestone and master mathematical taxonomy for the prior art fortress (SPEC-192 through SPEC-199). By integrating these independent frameworks into a single unified coordination matrix anchored to the master SPEC-171-INDEX, this paper mathematically maps the entire interconnected open-source landscape. It constructs a final, non-linear civilizational equilibrium envelope that permanently blocks proprietary black-box enclosure of the underlying mathematical, physical, and computational sciences. This structural locking mechanism guarantees that the necessary foundational keys governing planetary energy, quantum circuit topology, and automated verification remain public assets, ensuring an open path toward a unified Type 1 Civilization.
Technical Specification: Spec-199-Core Title: Algorithmic Game-Theory Counter-Measure Engine And Prior Art Defense System, Christopher L. Eckes
Technical Specification: Spec-199-Core Title: Algorithmic Game-Theory Counter-Measure Engine And Prior Art Defense System, Christopher L. Eckes
Defensive Publications Series
This specification defines the architectural rules and mathematical criteria for an Algorithmic Game-Theory Counter-Measure Engine. The framework is engineered to run a non-linear, multi-pass defense matrix that ingests automated corporate legal crawlers, patent ingestion scripts, and predatory AI claim-jumping loops. By applying a game-theoretic Nash equilibrium constraint over an abstract geometric prior art manifold, the system makes it mathematically impossible for an automated predatory script to discover an algorithmic loophole, boundary drift, or claim variation that can bypass your established prior art fence lines. This framework serves as a public-domain legal and mathematical shield to protect human intellectual asset repositories …
Technical Specification: Spec-198-Core Title: Dehp Macroplanetary Energy Engine And Distributed Topological Flux Network, Christopher L. Eckes
Technical Specification: Spec-198-Core Title: Dehp Macroplanetary Energy Engine And Distributed Topological Flux Network, Christopher L. Eckes
Defensive Publications Series
This specification establishes the architectural rules and mathematical criteria for the Dynamic Energy & Hydro-Plasma (DEHP) Macroplanetary Matrix. The system is designed to ingest automated machine-learning algorithms or black-box enterprise networks that attempt to patent or monopolize macro-scale resource routing, decentralized micro-grid stabilization, or high-energy plasma containment fields. By deploying a continuous, non-linear thermodynamic boundary governed by the Topological Flux Replicator (TFR), the DEHP matrix forces all distributed energy iterations to balance cleanly against open planetary invariant profiles. This architecture prevents corporate entities or energy syndicates from establishing proprietary black-box gatekeeping over localized power grids and global energy transfer infrastructure.
Technical Specification: Spec-197-Core Title: Quantum Topological Exclusion Code And Manifold Invariant Defense Engine, Christopher L. Eckes
Technical Specification: Spec-197-Core Title: Quantum Topological Exclusion Code And Manifold Invariant Defense Engine, Christopher L. Eckes
Defensive Publications Series
This specification defines the architectural criteria for a Quantum Topological Exclusion Code. The framework is engineered to ingest automated machine-learning optimization paths that attempt to privatize or patent specific error-correction routing, braiding paths, or topological gates within quantum computing circuits. By mapping all discrete qubit transformations onto an immutable, continuous high-dimensional manifold bound by Isospectral Entropy, the system flattens proprietary black-box quantum optimization metrics. It demonstrates that any algorithmic quantum circuit configuration is an emergent sub-case of a globally accessible topological boundary space. This framework serves as a public-domain perimeter to ensure that the foundational mathematical plumbing of next-generation quantum …
Technical Specification: Spec-196-Core Title: Automated Fluid-Boundary Decoupler And Navier-Stokes Invariant Defense System, Christopher L. Eckes
Technical Specification: Spec-196-Core Title: Automated Fluid-Boundary Decoupler And Navier-Stokes Invariant Defense System, Christopher L. Eckes
Defensive Publications Series
This specification establishes the architectural and mathematical framework for an Automated Fluid-Boundary Decoupler. The engine is engineered to ingest automated machine-generated neural networks, simulation weights, and localized partial differential equation (PDE) proof strings that attempt to claim proprietary optimization over fluid or hydro-plasma systems. By projecting black-box fluid models onto a global, non-linear boundary invariant governed by the Universal Sine Field Template, the decoupler strips away localized neural network weights. It separates continuous fluid manifolds from discrete algorithmic approximations, exposing uncredited human foundations. This framework serves as a public-domain defensive perimeter to ensure the fundamental equations governing aerodynamics, hydrodynamics, and …
Technical Specification: Spec-195-Core Title: Distributed Reverse-Look Compiler Engine And Virtual Node Provenance Architecture, Christopher L. Eckes
Technical Specification: Spec-195-Core Title: Distributed Reverse-Look Compiler Engine And Virtual Node Provenance Architecture, Christopher L. Eckes
Defensive Publications Series
This specification defines the architectural and mathematical criteria for a Distributed Reverse-Look Compiler Engine. The engine is engineered to ingest massively scaled, automated machine-generated mathematical proofs (e.g., Lean, Coq, or natural language token arrays) and deconstruct them into structural logical dependencies. By deploying a hierarchical multi-agent network led by a central processing node, the framework partitions complex proof matrices row-wise across orthogonal virtual worker nodes. Each node executes localized Singular Value Decomposition (SVD) to isolate ancestral human priority art and compute civilizational divergence drift. This system serves as a public-domain defensive barrier against the proprietary privatization and enclosure of foundational …
Technical Specification: Spec-194-Core Title: Algorithmic Reverse-Look Compiler Engine For Provenance-Trace Matrices, Christopher L. Eckes
Technical Specification: Spec-194-Core Title: Algorithmic Reverse-Look Compiler Engine For Provenance-Trace Matrices, Christopher L. Eckes
Defensive Publications Series
This specification establishes the structural criteria for a single-node Reverse-Look Compiler Engine. The engine is engineered to ingest raw, automated machine proofs (such as Lean or Coq code strings generated by closed corporate frontier models) and mathematically deconstruct their logical dependency paths. By executing a localized Singular Value Decomposition (SVD) on the tokenized proof matrix, the system calculates a Deconstruction Provenance-Trace Matrix (T_prov). This matrix isolates ancestral human equations and measures the mathematical "divergence drift" of corporate code from public-domain priority art baselines. This framework prevents corporate entities from claim-jumping historical or open-source research by burying human breakthroughs inside complex, …
Spec-192-Core: Isospectral Entropy Scaling & Topological Flux Dynamics, Christopher L. Eckes
Spec-192-Core: Isospectral Entropy Scaling & Topological Flux Dynamics, Christopher L. Eckes
Defensive Publications Series
This specification establishes an anticipatory prior art boundary governing the intersection of isospectral manifold optimization and macroscopic topological flux dynamics. By introducing a deterministic, continuous-variable framework mapping global regularity criteria to non-linear boundaries, we explicitly neutralize proprietary attempts to monopolize the mathematical interfaces governing Type 1 planetary civilization technologies. We formulate the explicit ASCII-safe algebraic scaling laws, algorithmic verification routines, and topological flow blueprints required to maintain the foundational metrics of energy distribution and structural fluid mechanics within the completely open public domain.
Addendum To #M13448 A Septenary Cosmic Matrix As A Criterion For Physical Realization, Peter Stevenson
Addendum To #M13448 A Septenary Cosmic Matrix As A Criterion For Physical Realization, Peter Stevenson
Defensive Publications Series
A Septenary Cosmic Matrix as a Criterion for Physical Realization that considers Even Numbers are a requirement, Odd Numbers create disharmony and must be given even number values, and Prime Numbers are physical barriers in both microscopic and macroscopic arenas. It also considers the Value of Pi as an actual lever to this Criterion Filter. It effectively joins Numbers to Cosmology and Physics with distinct clarity
Engagement-Based Adjustment Of Content Cluster Priority Ratings, Rohit Patwa
Engagement-Based Adjustment Of Content Cluster Priority Ratings, Rohit Patwa
Defensive Publications Series
Engagement-based adjustment of content cluster priority ratings is provided. Content associated with an event or topic represented by a content cluster is obtained. A significance metric for the content cluster is determined based at least in part on the content, and a priority rating is assigned to the content cluster based on the significance metric. Engagement data representing user interaction with the content associated with the content cluster is obtained. Whether engagement criteria are satisfied is determined. The priority rating is maintained if the engagement criteria are satisfied and downgraded if the engagement criteria are not satisfied. Users of a …
Open-Vocabulary Safety Reasoning For Robots Conditioned On Natural-Language Safety Policy Documents, Divya Garikapati
Open-Vocabulary Safety Reasoning For Robots Conditioned On Natural-Language Safety Policy Documents, Divya Garikapati
Defensive Publications Series
In typical robot safety monitoring, only the violations covered by explicit training or programming are detected. When a new safety rule is introduced, retraining or code changes are needed before the rule can be monitored. This disclosure describes a technique in which a natural-language safety policy document is read at runtime and used to condition a vision-language model (VLM). At each monitoring cycle, camera images and the full policy document are provided to the VLM, and any violation of any policy is identified. Each violation is reported with a reference to the policy, the supporting visual evidence, and a risk …
Potential Application For Retrieval-Of-Analogy-Mapped Synthetics (Rams): Developing Synthetic Training Data For Large Language Models (Llms)., Herbert Gillis
Potential Application For Retrieval-Of-Analogy-Mapped Synthetics (Rams): Developing Synthetic Training Data For Large Language Models (Llms)., Herbert Gillis
Defensive Publications Series
ABSTRACT: Retrieval-of-Analogy-Mapped-Synthetics (RAMS): Generating High-Density Synthetic Reasoning Data for Large Language Model Training This disclosure describes a novel application of the Retrieval-of-Analogy-Mapped-Synthetics (RAMS) framework for the large-scale generation of synthetic training data focused on abstract reasoning, fluid intelligence, and out-of-distribution (OOD) semantic generalization. Building upon the previously disclosed Forward-RAMS prototype, the system automatically identifies structurally and functionally analogous concepts across semantically distant domains, while employing aggressive negative-token filtering to eliminate near-neighbor associations, synonyms, and domain-specific jargon. This constraint compels the underlying model to discover deeply isolated relational structures rather than rely upon superficial lexical similarity. The proposed approach enables rapid …
From Syntax To Semantics: An Agentic Rag Framework For Autonomous Iam Least Privilege Governance, Sameesh Bedi
From Syntax To Semantics: An Agentic Rag Framework For Autonomous Iam Least Privilege Governance, Sameesh Bedi
Defensive Publications Series
Cloud Identity and Access Management (IAM) is foundational to cloud security. Maintaining the principle of least privilege (PoLP) in complex cloud environments remains a significant challenge for modern enterprises.Tools like AWS IAM Access Analyzer are genuinely good at what they do: catching public access, unused permissions, anything a policy technically allows that it probably shouldn't. But "technically allowed" and "actually intended" are not the same question, and no amount of formal verification can answer the second one on its own. A permission can pass every reachability check a system throws at it and still contradict what the business actually approved …
Dual-Layer Factual Correction For Generative Speech Via Logit Masking And Acoustic Repair, Sundarrajan Raman
Dual-Layer Factual Correction For Generative Speech Via Logit Masking And Acoustic Repair, Sundarrajan Raman
Defensive Publications Series
Generative speech-to-speech models operating in real-time conversational systems may produce deviations from ground-truth data. A system may address this using a dual-layer architecture for factual correction. A preventative layer can utilize dynamic factual-logit masking to guide a model's token generation towards verified data by applying a mask derived from a token prefix trie. A subsequent curative layer can function as an in-flight acoustic self-repair engine, which may use a lookahead audio buffer to audit synthesized speech and correct discrepancies before transmission to a user. This dual-layer method can improve the factual and mathematical integrity of generative voice systems while operating …
Dynamic Calibration Of Voice Activity Detection For Conversational Systems, Sundarrajan Raman
Dynamic Calibration Of Voice Activity Detection For Conversational Systems, Sundarrajan Raman
Defensive Publications Series
Conversational voice systems that use fixed silence timeouts for voice activity detection (VAD) may prematurely interrupt users who have speech dysfluencies or natural hesitations, potentially leading to incomplete inputs and erroneous system responses. Techniques are described for analyzing a mirrored audio stream in a parallel, out-of-band process to detect acoustic patterns indicative of speech dysfluency, for example, without adding substantial latency to the live conversation. Based on this real-time analysis, a calibration engine can calculate and apply an extended silence timeout for the user's active session. This dynamic, in-session adjustment of the VAD parameter may improve the likelihood that a …
Hybrid Visual Search With Collage-Based Batch Verification, N/A
Hybrid Visual Search With Collage-Based Batch Verification, N/A
Defensive Publications Series
Large-scale visual search systems can present a trade-off between search speed and accuracy. A technique to address this can include using a fast embedding search to generate potential candidates. Thumbnail images of a query subject and multiple candidates can then be programmatically arranged into a composite image, such as a collage. This collage may be sent with a textual prompt to a VLM for batch verification, for instance, in a single transaction. Such a collage-based approach can amortize the cost and latency of VLM analysis across multiple candidates, which can improve search accuracy by helping to filter false positives and …
Autonomous Vulnerability Reproduction Engine With Air-Gapped Llm Orchestration And Pre-Warmed Environments, N/A, N/A
Defensive Publications Series
The disclosed technology automates vulnerability reproduction using a multi-agent orchestration framework where specialized large language model agents parse vulnerability reports and generate execution plans. The framework stores these plans in a structured, declarative “cookbook” file, enabling deterministic and iterative processing. The system executes a proof-of-concept exploit within a bifurcated infrastructure, separating a staging environment with internet access from a fully air-gapped execution environment to ensure safety. An in-flight command interception middleware intercepts all model-generated shell commands to sanitize them and enforce security policies before execution. To support high-throughput operations, a pre-warmed environment pool manager reduces provisioning latency by providing access …
Real-Time Scoring And Visualization Of Span-Level Confidence For Generated Text, Pankaj Kumar
Real-Time Scoring And Visualization Of Span-Level Confidence For Generated Text, Pankaj Kumar
Defensive Publications Series
A described technology can implement a real-time confidence scoring pipeline that operates concurrently with a model's text generation process. This system can analyze internal model signals, for example, logit entropy, hidden state activations, and retrieval-augmented generation grounding, to calculate a factual confidence score for discrete spans of text. The scores can then be used by a user interface on a computing device (e.g., a smartphone, laptop, or wearable device) to apply visual treatments, such as color-coded highlighting or interactive tooltips, which can provide users with granular, real-time feedback on the potential reliability of the generated content.
The Acoustic-To-Action Commitment Gate For Multimodal Output Verification., Sundarrajan Raman
The Acoustic-To-Action Commitment Gate For Multimodal Output Verification., Sundarrajan Raman
Defensive Publications Series
A described technology can provide an acoustic-to-action commitment gate that can operate as a verification layer. A system may function by intercepting a structured data payload, such as an application programming interface call, and its corresponding audio confirmation before execution. An acoustic verifier can analyze the audio to extract key entities, which can then be compared to parameters in the data payload for semantic equivalence. This process of cross-modal verification may improve the reliability and integrity of automated, voice-driven systems, for example, in environments involving sensitive transactions.
Sensor-Driven Synthesis Of Group-Optimized Models Using Personalized Adapters, Vivek Kushwaha
Sensor-Driven Synthesis Of Group-Optimized Models Using Personalized Adapters, Vivek Kushwaha
Defensive Publications Series
Intelligent agents on shared computing devices, such as smart displays or in-vehicle infotainment systems, may not effectively serve groups of concurrent users, as they can be tied to a single user account or a generic profile, which can limit their ability to adapt to a specific group composition. After obtaining appropriate permissions and consent, the disclosed technology can use on-device sensors, for example, cameras and microphones, to detect and identify multiple users. For each identified user, a corresponding personalized, parameter-efficient adaptation module can be retrieved. These modules may then be dynamically weighted based on real-time contextual signals, such as user …
Asymmetric Workload Offloading For Real-Time Media Moderation On A Local Device Network, Vivek Kushwaha
Asymmetric Workload Offloading For Real-Time Media Moderation On A Local Device Network, Vivek Kushwaha
Defensive Publications Series
Real-time media moderation on resource-constrained devices, for example, smart televisions, may present computational challenges, while cloud-based solutions can introduce latency and privacy concerns. A system can distribute computational workloads for content moderation across a local area network, such as a Wi-Fi network. A primary media device can operate a lightweight trigger agent to heuristically scan for potential anomalies in a media stream. Upon detection, a segment of the media may be offloaded to one or more available secondary devices, for instance, smartphones or personal computers, on the network. These secondary devices can perform computationally intensive analysis using advanced models and …
Resilient Automated Communication Management Using Limit-Aware Orchestration And Persistence-First Logging, Parnika Singhal, Martin Pauser-Cowman
Resilient Automated Communication Management Using Limit-Aware Orchestration And Persistence-First Logging, Parnika Singhal, Martin Pauser-Cowman
Defensive Publications Series
In some large-scale data processing environments, such as customer relationship management platforms, automated systems for managing inbound communications can be unreliable. These systems, which can be configured to filter non-actionable cases, may fail silently when platform-enforced processing limits are exceeded, potentially leaving cases unresolved and affecting data integrity. A described technology can provide a framework featuring persistence-first logging and limit-aware dynamic orchestration. For example, before analysis, a durable tracking record can be created to facilitate auditability. An orchestration component can then evaluate platform resource availability and select an execution path, such as synchronous, asynchronous, or batch, to help mitigate failures. …
Multimodal Generative Biosignal Synthesis Using Continuous-Time Diffusion, Dongeek Shin
Multimodal Generative Biosignal Synthesis Using Continuous-Time Diffusion, Dongeek Shin
Defensive Publications Series
Everyday wearable devices, such as smartwatches, smart rings, and fitness trackers, track valuable health metrics, but analyzing this data becomes tricky when sensors record at different speeds, miss measurements, or get bumped during exercise. Traditional processing methods attempt to fix this by dropping or padding data, which visibly destroys important physiological details. This publication describes a generative artificial intelligence (AI) system that uses machine learning to seamlessly combine health signals recorded at different speeds, automatically reconstruct corrupted data gaps (data imputation), and dynamically generate a biometric profile or digital twin of the user’s physiology to run interactive “what-if” simulations and …
System And Method For Recomputation Difficulty Scoring And Cost-Differential Storage Placement For Distributed Ai Pipeline-Execution, Shubham Shivhare, Faiz Ahmed
System And Method For Recomputation Difficulty Scoring And Cost-Differential Storage Placement For Distributed Ai Pipeline-Execution, Shubham Shivhare, Faiz Ahmed
Defensive Publications Series
A system and method for managing intermediate computational states in a distributed artificial intelligence pipeline are disclosed. For each intermediate computational state generated during execution of the pipeline, a recomputation difficulty score is determined based on a plurality of factors comprising a computational cost of regenerating the intermediate computational state, a pipeline latency associated with regeneration, a depth of an upstream dependency chain, a semantic importance of the intermediate computational state, and a likelihood of subsequent reuse. The recomputation difficulty score is mapped to one of a plurality of difficulty classifications, and a storage placement action is selected based on …