https://salt19.com/arcs/Autonomous Reasoning, Cognitive Systems & Agentic AI research records.en-usMon, 21 Sep 2026 15:08:59 +0000https://salt19.com/arcs/records/22874724/10.5281/zenodo.22874724Mon, 21 Sep 2026 00:00:00 +0000Modern agent systems can call models, route among heterogeneous backends, retain memory, invoke tools, and act on external environments. The harder systems problem is proving where neural inference is actually wired, whether it is reachable on the canonical runtime path, what authority its output is allowed to exercise, what kind of evidence that output constitutes, what artifact or state it was grounded in, whether resulting state persists across process boundaries, and whether later behavioral change is causally attributable rather than merely correlated with stored state. This technical white paper develops that problem as the central research thesis of EvoMind: intelligence should be treated as a governed, evidence-bearing software capability whose wiring, reachability, epistemic…https://salt19.com/arcs/records/22820430/10.5281/zenodo.22820430Thu, 17 Sep 2026 00:00:00 +0000AMEP-1 v0.3.0 is the first formal software release of the post-Version-1.0 hardening line for Adaptive Maritime Estimation and PNT, a research architecture for resilient maritime navigation, navigation-integrity supervision, and autonomy-authority management under GNSS-degraded and GNSS-denied conditions. The release provides explicit contracts for normalized measurement ingestion, source and receive time, clock domains, timestamp uncertainty, provenance, coordinate frames, covariance, source health, source dependencies, integrity supervision, deterministic replay, and navigation-authority gating. AMEP v0.3.0 includes the original seven-state horizontal maritime EKF reference implementation together with 15-state local-level strapdown ESKF reference backends. The inertial implementation…https://salt19.com/arcs/records/22818773/10.5281/zenodo.22818773Thu, 17 Sep 2026 00:00:00 +0000AMEP-1 v0.3.0 advances Adaptive Maritime Estimation and PNT from the bounded seven-state research architecture reported in AMEP-1 Version 1.0 toward a dependency-aware software architecture for resilient maritime navigation, navigation-integrity supervision, and autonomy-authority management under GNSS-degraded and GNSS-denied conditions. The principal contribution of this release is not a claim of operational navigation performance, but a formalization of the software mechanisms required to make degraded-navigation assumptions explicit, executable, traceable, and falsifiable. The architecture separates estimation from integrity and authority; represents source identity, timing, provenance, failure domains, and shared dependencies explicitly; requires opt-in safety credit; performs…https://salt19.com/arcs/records/22561851/10.5281/zenodo.22561851Mon, 07 Sep 2026 00:00:00 +0000AMEP-1 Version 1.0 is a platform-neutral research architecture for resilient maritime PNT and navigation-authority supervision for uncrewed surface vessel research. It combines a verified WGS 84 vessel-centered local geometry implementation, a seven-state recursive covariance estimator, configurable innovation screening, sensor health/freshness supervision, local constraint-coverage diagnostics, experimental radar and bathymetric structural descriptors, residual spectral diagnostics, tail-error modeling, environmental route research, generalized communications supervision, and explicit operator/autonomy/safety command authority. The release is intentionally bounded by adversarial evidence. A same-sensor clean synthetic comparison does not establish AMEP accuracy superiority. Gross…https://salt19.com/arcs/records/22610459/10.5281/zenodo.22610459Mon, 07 Sep 2026 00:00:00 +0000AGTP-1 Version 1.2 is a post-publication implementation corrigendum to the Version 1.1 technical supplement and is anchored to the normative Version 1.0 geometry. It restores the Version 1.0 Equal Earth central meridians (-94.5 degrees and +77.0 degrees), restores the exact published Atlantic/Arctic seam, and restores the south-polar Lambert Azimuthal Equal-Area Antarctic lobe. It also replaces the implementation requirement for a side-channel lobe identifier with a conventional two-dimensional projected coordinate (X, Y) . Fixed false-eastings place the lobe images in provably disjoint X intervals, so the inverse identifies its branch from X alone. The deposit includes explicit forward and inverse equations, a global injectivity argument subject to declared map edges and pole…https://salt19.com/arcs/records/22554593/10.5281/zenodo.22554593Sun, 06 Sep 2026 00:00:00 +0000This record is an implementation-grade technical supplement to the original Allit Geoid Truth Projection (AGTP-1) v1.0 publication, DOI 10.5281/zenodo.22385043. It closes specific implementation and reproducibility gaps identified during external GIS-oriented review without changing the underlying AGTP-1 local projection geometry. The supplement publishes explicit WGS 84 forward and inverse equations, numerical convergence rules, finite-precision seam semantics, a reversible packed 2D representation, an analytic Jacobian and equal-area proof, Gaussian first-fundamental-form and Tissot distortion derivations, a dependency-free reference implementation, automated 100-cycle round-trip tests, PROJ cross-validation, conformance vectors, and a reproducible land-weighted benchmark with bundled…https://salt19.com/arcs/records/22385043/10.5281/zenodo.22385043Sat, 05 Sep 2026 00:00:00 +0000The Allit Geoid Truth Projection (AGTP-1) is a proposed static, interrupted, composite equal-area framework for small-scale world mapping developed by Gabriel V. Allit . AGTP-1 is formally defined on WGS 84 and combines two independently recentered Equal Earth land-bearing lobes with a South-Pole-centered Lambert Azimuthal Equal-Area (LAEA) Antarctic lobe. The framework also defines a latitude-dependent Atlantic/Arctic seam, canonical lobe-aware coordinates, explicit interruption topology, and a strict separation between horizontal map geometry and geoid-referenced vertical information. The term geoid-aware is used in a precise geodetic sense. Horizontal geometry is referenced to WGS 84 and its authalic equivalent for the analytical equal-area formulation. EGM2008 geoid undulation is…https://salt19.com/arcs/records/22151216/10.5281/zenodo.22151216Sat, 29 Aug 2026 00:00:00 +0000Autonomous agents can invoke tools, but invocation alone does not define a market. Before software can economically acquire an external capability, it must discover a relevant operation, observe current price and requirements, determine whether payment is authorized, cross a payment boundary, receive an outcome, and preserve enough evidence to distinguish discovery from realized commercial activity. This preprint presents a capability-acquisition layer added to the SALT19 Agent Utility Grid after the earlier Governed Decision-Commerce Control Plane record (DOI 10.5281/zenodo.22102248). The new architecture introduces two free front-door capabilities ( find-salt19-tool and salt19-pricing ), twelve one-cent Fresh-State acquisition products, explicit qualified-demand telemetry, and a…https://salt19.com/arcs/records/22127174/10.5281/zenodo.22127174Thu, 27 Aug 2026 00:00:00 +0000Persistent state is often credited as memory or learning even when it never affects a later decision. This preprint introduces Persistent Cognitive Influence (PCI), an operational evaluation discipline that separates recording, durable persistence, fresh-process retrieval or reload, canonical cognitive consumption, attributable downstream influence, independent outcome verification, and comparative improvement. Applied to four EvoMind mechanisms at a pinned August 2026 evidence cut, the study reports: (1) grounded user-fact recall across a fresh process with role attribution, session/project isolation, and absent-fact abstention; (2) relational entity grounding that survives restart and resolves indirect run/node references to verified artifacts, including stale-mutation detection; (3) a…https://salt19.com/arcs/records/22102248/10.5281/zenodo.22102248Tue, 25 Aug 2026 00:00:00 +0000Autonomous AI systems increasingly require external capabilities that are not economically or operationally sensible to bundle into a single model or runtime. Model Context Protocol (MCP) standardizes capability discovery and invocation, while x402 standardizes HTTP-native payment negotiation for machine actors. Those protocols solve important interoperability problems, but they do not by themselves determine how a paid tool should bound its claims, preserve the evidence supporting a decision, distinguish a payment challenge from realized revenue, or adapt its commercial surface without granting an autonomous controller open-ended economic authority. This preprint presents the Agent Utility Grid, a production architecture that combines native MCP discovery, x402 v2 payment gating…https://salt19.com/arcs/records/21957527/10.5281/zenodo.21957527Sat, 15 Aug 2026 00:00:00 +0000This working paper describes a systems pattern implemented in EvoMind for converting a high-level user objective into one or more real, verified work products without granting the planner direct execution authority. The pattern separates semantic planning, capability resolution, governance admission, execution, independent verification, and artifact-state admission. In the current implementation, a high-level objective can be classified as requiring no deliverable or one or more deliverables; a CapabilityGoalGraph expresses work-product requirements and dependencies; a registry-grounded capability broker selects implementations; canonical admission and governed execution control side effects; and verified artifact records preserve identity, versioning, provenance, and lineage. An internal…https://salt19.com/arcs/records/21881379/10.5281/zenodo.21881379Mon, 10 Aug 2026 00:00:00 +0000EvoMind is a local-first, governed cognitive runtime investigating whether deployment experience can become persistent, reusable, transferable operational capability. Evaluating EvoMind against the contemporary artificial-intelligence landscape requires more than comparing parameter counts, language benchmarks, multimodal inputs, computer use, persistent memory, or robotic dexterity. Modern frontier systems already combine increasingly capable reasoning, multimodality, computer interaction, tool execution, persistent agent memory, and, in robotics, embodied reasoning and motor control. This white paper therefore examines a narrower systems hypothesis: can a deployed cognitive architecture convert repeated success, successful recovery, and attributable correction into reusable operational…https://salt19.com/arcs/records/20580112/10.5281/zenodo.20580112Mon, 10 Aug 2026 00:00:00 +0000EvoMind is a local-first, governed cognitive architecture designed to separate cognitive capability, runtime authorization, execution, and verification into explicit system authorities rather than treating model output as direct permission to act. This technical note documents EvoMind at a frozen first-party engineering snapshot dated 10 August 2026, corresponding to repository main commit 628de798bbc4ab1d729b584cd06231a7d372cf1e . The documented system integrates persistent state and memory, multi-step planning, fused desktop perception, governed tool and desktop execution, canonical skill lifecycle management, fresh post-action verification, semantic human demonstration learning, restart reconstruction, revocation, provenance, causal evidence, and experience-driven skill formation from…https://salt19.com/arcs/records/21270654/10.5281/zenodo.21270654Wed, 08 Jul 2026 00:00:00 +0000Tool-using AI agents increasingly operate in asynchronous, partially observable environments where a successful API return, mouse click, keystroke sequence, or tool invocation does not guarantee that the intended semantic outcome occurred. This white paper proposes Verified Semantic Transitions (VST), an implementation-neutral architectural primitive that treats the unit of reliable agent progress as a verified intended state change rather than an attempted action. A VST binds an intent, prior belief state, predicted postcondition, action, resulting observations, verification predicate, recovery policy, and memory update. The central rule is that external action completion must not automatically become an internal fact: an agent should advance its plan or promote a proposition into…https://salt19.com/arcs/records/20580153/10.5281/zenodo.20580153Sat, 06 Jun 2026 00:00:00 +0000EvoMind is a governed cognitive architecture and research platform for autonomous reasoning, memory, planning, learning, and desktop-agent execution. The architecture is organized around a closed-loop cognitive cycle consisting of perception, world-model maintenance, memory formation and retrieval, decision support, planning, governance enforcement, execution through the Raziel control layer, observation, and learning or adaptation. A primary design goal of EvoMind is the separation of cognition from language generation. The architecture emphasizes governance, auditability, provenance, reversibility, and bounded autonomy through explicit approval boundaries, policy enforcement, claim-boundary controls, and validation workflows. This release contains architecture documentation, governance…