Capability-Constrained Anchor Accessibility

Mechanism

The mechanism integrates two structures: the anchor capability requirement and the discovery-object capability envelope. Each anchor in the semantic index publishes, as part of its neighborhood description, a structured statement of the capabilities required to process its content meaningfully. Required capabilities are expressed across multiple dimensions: computational substrate (CPU, GPU, accelerator class), memory footprint, dataset access permissions, model inference budget, latency tolerance, jurisdictional admissibility, and any domain-specific capabilities defined by the operator.

Each discovery object carries a capability envelope that enumerates the capabilities it has demonstrated. The envelope is not self-asserted; capabilities are populated from credentialed evidence: prior successful processing of comparable content, attestations from the substrate the object is running on, and any external attestations carried in the object's credential. The envelope is dynamic: as the traversal proceeds and resources are consumed, the residual envelope contracts.

The admissibility gate evaluates each candidate anchor before it is admitted to the discovery frontier. The gate compares the anchor's published requirements against the discovery object's residual envelope. Anchors whose requirements are entirely within the envelope are admissible. Anchors whose requirements exceed the envelope on any dimension are excluded from candidacy. Anchors that fall partially within the envelope may be admitted in a degraded mode if the operator has configured one, or excluded outright otherwise.

The exclusion is not merely a ranking penalty. Excluded anchors do not appear in the discovery result and are not considered for further traversal extension. This is the load-bearing property: the discovery object never reasons about content it cannot process, never traverses into neighborhoods that require capabilities it lacks, and never produces results that would require resources it cannot summon. The agent's reasoning is structurally bounded by its demonstrated capabilities.

Operating Parameters

Capability dimensions are operator-defined and extensible. A baseline deployment defines computational substrate class, memory footprint, and dataset access. Domain deployments add dimensions: a medical-information deployment adds licensure, training-data class, and patient-data jurisdiction; a financial-information deployment adds regulated-instrument class, jurisdiction, and audit-retention scope. Each dimension carries its own comparison semantics: substrate is matched against an inclusion lattice, memory is matched as a numeric bound, jurisdiction is matched against a permitted set.

The envelope is parameterized by a residual budget along each dimension. Initial budgets are populated at the start of traversal from the substrate's published capabilities and the agent's credential. Budgets are decremented as the traversal proceeds: a memory-intensive anchor traversal reduces the residual memory budget, a high-latency anchor traversal reduces the residual latency budget. The dynamic accounting ensures that an agent that begins traversal with a generous envelope cannot exhaust the envelope on early anchors and then traverse to late anchors as if the envelope were still intact.

Anchor publication parameters control how requirements are expressed. Anchors may publish exact requirements, conservative upper bounds, or distributional descriptions of expected requirements. The gate evaluates conservatively: when requirements are distributional, the gate compares the upper-tail requirement against the envelope, ensuring that admissibility implies a high probability of successful processing rather than a marginal one.

Degraded-mode parameters control behavior at the boundary of the envelope. An anchor that exceeds the memory budget by a small margin may be admitted with a chunked-processing strategy that brings it within budget at the cost of additional latency. An anchor that exceeds the latency budget may be admitted with an asynchronous-completion strategy. Degraded modes are operator-configured and themselves require capabilities the agent must demonstrate.

Alternative Embodiments

One embodiment evaluates capability constraints purely at retrieval time, filtering candidates as they are generated by the underlying index. A second embodiment evaluates constraints during the traversal-extension step, after retrieval but before the candidate is followed. A third embodiment evaluates constraints both at retrieval and at extension, producing a tighter bound at the cost of redundant evaluation.

A fourth embodiment composes capability constraints with content-policy constraints in a single admissibility gate. The gate evaluates the union of capability and content constraints and excludes the anchor if either fails. This embodiment trades modular separation of concerns for a single unified evaluation that is simpler to reason about under audit.

A fifth embodiment supports capability negotiation. Rather than excluding an anchor whose requirements exceed the envelope, the gate emits a negotiation request that asks the agent's substrate to extend the envelope, perhaps by allocating additional memory, summoning a higher-class accelerator, or acquiring a temporary jurisdictional license. If the negotiation succeeds, the anchor becomes admissible; if it fails, the anchor is excluded.

A sixth embodiment treats the envelope as continuous rather than discrete. Capability matches produce a graded admissibility score that flows into the candidate ranking rather than a binary admit/exclude decision. This embodiment is appropriate when operators prefer soft prioritization to hard exclusion, accepting some risk of incomplete processing in exchange for broader retrieval.

Composition

The capability-constrained gate composes with the capability-awareness primitive used throughout the admissibility framework. The same envelope that gates anchor accessibility gates other operations the agent might attempt: tool invocations, external-resource access, and output emissions. An agent that lacks the capability to process an anchor also lacks the capability to invoke a tool that depends on that capability, and the capability-awareness primitive enforces both restrictions through the same envelope evaluation.

Composition with the training-inference integration described elsewhere yields a stronger property: the capabilities listed in the envelope are not only those the agent has demonstrated at runtime but also those the agent's underlying model was certified for during training. An agent whose model was not certified for high-stakes medical reasoning cannot acquire the capability through runtime demonstration; the envelope is bounded above by the training-time certification.

Composition with provenance tracking causes every retrieved anchor to carry, in its discovery record, the envelope state at the moment of admission. Reconstructing why a particular anchor was admitted is a matter of inspecting the recorded envelope; reconstructing why an anchor was excluded is a matter of inspecting the gate-evaluation log.

Prior Art Distinctions

Conventional retrieval systems perform capability-blind retrieval: candidates are ranked by semantic similarity without reference to whether the requesting agent can actually process them. Downstream failures arise when an under-capable agent receives over-demanding references and either fails outright or partially processes them with degraded fidelity. The construction here moves the capability check upstream into the traversal itself, so failures of this class do not occur.

Resource-aware retrieval systems exist but typically operate as post-hoc filters or ranking adjustments rather than as structural gates. The candidate set is assembled by capability-blind retrieval and then pruned. Pruning loses information about which neighborhoods of the index were unreachable and produces results whose composition reflects retrieval rather than capability. The structural-gate approach yields candidate sets that are inherently capability-bounded.

Permissioned-search systems gate retrieval by access control rather than by capability. An agent may be permitted to retrieve an anchor it cannot process, or denied an anchor it could process. The capability gate is orthogonal to access control and composes with it: an anchor must be both accessible and processable to be admitted.

Tool-use frameworks that gate tool selection by declared capabilities apply a similar idea at the tool-invocation boundary but do not extend the gating to retrieval. The construction here unifies the two by treating retrieval as a capability-gated operation in the same framework that gates tool use.

Practical Considerations

Index publishers must produce capability requirements for every anchor, which adds an annotation burden to index construction. The disclosure mitigates this by permitting requirements to be derived from anchor content type: a vector-anchor over a particular embedding model inherits the embedding model's published requirements, a structured-data anchor inherits requirements derived from data volume and schema complexity, and so on. Manual annotation is required only when the derived requirements are inadequate.

Latency at the gate is bounded by the cost of comparing requirement structures against envelope structures. For typical capability dimensions and structure sizes, the comparison completes in microseconds per candidate and does not materially affect retrieval latency. Bulk evaluations during traversal extension batch the comparisons and amortize fixed costs across candidate sets.

Operationally, capability envelopes must be kept current with substrate state. An agent running on a substrate whose available memory has been depleted by other workloads must update its envelope to reflect the depletion, or the gate will admit anchors the agent cannot in fact process. The disclosure assumes a substrate-attestation mechanism that publishes substrate state at envelope-construction time and on material change events.

Adversarial considerations include anchors that misrepresent their requirements to evade the gate, claiming low requirements to be admitted and then consuming resources beyond the claimed bounds. Mitigations include attestation of requirements by index publishers, runtime metering that aborts processing when actual consumption exceeds claimed requirements, and admissibility downgrades for anchors whose past consumption has exceeded their claimed requirements.

Disclosure Scope

The disclosure encompasses the anchor capability-requirement publication format, the discovery-object capability envelope construction and dynamic accounting, the admissibility gate evaluated during traversal, the degraded-mode and negotiation extensions, and the composition with the capability-awareness primitive. Variants over capability dimensions, gate placement, evaluation semantics, and graded versus binary admissibility fall within scope.