Extends the complex-graph suite to the remaining uncovered surfaces:
- complex-graph-ttl-crucible: value-TTL expiry over community/scale-free
graphs (pinned changed_last_at writes, {now} reads, mirror freshness
rule), mutation-with-time binary parity, snapshot round-trip preserves
the TTL gate. Notable find: snapshot restore resets changed_last_at to
access time (RelationSnapshotAccess.js:91), so TTL assertions compare
each engine against its own effective write clock.
- complex-graph-overlay-crucible: partial-graph overlay over complex
graphs. Key discovery: pre-built PartialGraphContext must be passed as
partialGraphContext (partialGraph is a raw spec re-ingested at
ArbiterChecks.js:15); overlay rides the direct relations a policy
consumes (TTU-derived can_read ignores it, verified by probe).
- complex-graph-values-crucible: relational-comparator over value-carrying
relations with pinned clocks — comparator parity, value-mutation flips
the decision immediately, TTL expiry on the comparator denies.
- complex-graph-reachability-crucible: PLTC reachability vs ground-truth
BFS on scale-free/community graphs — verdict parity, fast-fail
soundness (no false positives), null-defer contract honored.
- complex-graph-batch-crucible: addRelationsBatch vs sequential build
parity, mutation parity across both, cache-freshness after mutation.
- complex-graph-quantization-crucible: 16-bit quantization band over real
possibility spreads, allow/deny agreement outside the band, snapshot-of-
snapshot semantic identity.
Also seeds the two unseeded campaigns in tuple-to-userset-rule.test.js
(flagged flake ~1/15 — nondeterministic runs on a deterministic engine).
Rigor 245/245, full suite 847/785/0.
@arbiter/core
Possibilistic authorization engine: graph indices, relation/reachability queries, rule evaluation over a DSL, and lossless condensed snapshots.
Why
Authorization policies live on a graph: users hold relations to objects, groups, and roles, and rules derive decisions from those relations. @arbiter/core answers one question — may user U perform relation R on object O? — with a possibility ranking, not a boolean. Callers supply evidence with strengths; the engine fuses it through rule operators (union, intersection, exclusion, defeasible, chain, multi-hop, relational comparator) and returns the strongest derivable possibility, the reliability of the decision, and the validity provenance of the ranking.
The engine does not police caller-supplied evidence: you supply validated relation strengths and proofs; the engine derives and fuses. It is a library, not a service — no storage, no transport, no policy source of truth.
Install
npm install @arbiter/core
The package is ESM-only and requires Node 22 or newer.
Quick Start
import { Arbiter } from '@arbiter/core';
const arbiter = new Arbiter();
// Nodes: an id and a type.
arbiter.addNode('user:1', 'user');
arbiter.addNode('doc:9', 'doc');
// Relations: a config says how decisions for that relation are derived.
arbiter.setRelationConfig('owner', { type: 'direct' });
arbiter.addRelation('user:1', 'owner', 'doc:9', { possibility: 0.9 });
// The core question.
const result = arbiter.check('user:1', 'owner', 'doc:9');
// { possibility: 0.9, reliability: 1,
// validity: { label: 'heuristic', operator: 'identity', regime: 'arbitrary' },
// reason: 'direct_match' }
Concepts
Possibility, not probability
Every check returns a possibility in [0, 1] — a maxitive ranking supplied by the caller through relation strengths. 1 means derivable, 0 means not derivable. Fusions take the maximum under union, and enforce thresholds and conflicts under intersection, exclusion, and defeasible operators.
Result shape
Every check result carries the same four fields:
| Field | Type | Meaning |
|---|---|---|
possibility |
number in [0,1] |
Derived possibility of the decision |
reliability |
number in [0,1] |
Reliability of the decision; always 0 for denials |
validity |
object |
Validity provenance: label, operator, regime (minimal form) |
reason |
string |
Outcome class: direct_match, no_relation, threshold_not_met, missing_node, no_config, cycle, ... |
Denied decisions never leak a source's reliability. includeMeta: true adds meta with the full provenance (allow/deny blocks, rule traces, thresholds) and the full validity block (sources, conflictMass, validifiedPossibility, nonMaxitive).
The caller owns evidence and time
- Evidence: relation strengths and validity labels come from the caller. The engine derives and fuses but never judges.
- Time: TTL-gated evidence uses the caller's clock. Pass
{ now }(orpartialGraph.now) to pin the temporal context; a rerun with the same context reproduces the decision.
Overlays and partial graphs
check accepts a PartialGraphContext overlay. Overlay relations take precedence over the base graph, letting you answer "what changes if this evidence appears?" without mutating the graph.
API
The public surface is the Arbiter class:
- Graph:
addNode,addRelation,removeRelation,setRelationConfig,getNodeData,resolveNodeId,resolveKey - Check:
check(userKey, relation, objectKey, options),explain(enrichesmeta),binarymode (fast path, marks resultsbinary: true) - Reachability:
isReachable,getReachableNodes,getReachingNodes,shortestPathLength,estimateGraphDistance(isReachablereturnsnullwhen no PLTC index is available — a signal to defer to rule evaluation) - Snapshots:
enableCondensedSnapshot,toSnapshotBinary,Arbiter.fromSnapshotBinary(lossless: carries relation metadata, TTLs, and validity; malformed buffers fail fast with clean errors) - Value context:
valueManager(TTL-gated evidence),getSituationTree,monteCarloWalk
Check options:
| Option | Type | Default | Meaning |
|---|---|---|---|
includeMeta |
boolean |
false |
Attach full provenance in meta |
explain |
boolean |
false |
Enrich meta with the evaluation trace |
binary |
boolean |
false |
Binary fast path; results marked binary: true |
now |
number |
engine clock | Pinned temporal context for TTL gates |
partialGraphContext |
PartialGraphContext |
none | Overlay taking precedence over the base graph |
Development
npm install # install dependencies
npm test # full suite
npm run test:rigor # js-rigor campaigns (property-based + fuzzing)
npm run benchmark # compare against the committed perf baseline
npm run benchmark:save # record a new perf baseline
CI runs the full suite, the rigor campaigns, and the benchmark on every push; v* tags additionally publish the package to the @arbiter registry.
Design Notes
- Possibility is a maxitive ranking. Fusions preserve the weakest validity label under arbitrary dependence; conjunctive operators surface conflict mass instead of silently averaging it.
- One evaluation path. The rule engine has a single, uncompiled evaluator — parity between normal, binary, partial-graph, and snapshot-restored checks is structural, and the rigor campaigns enforce it.
- Snapshots are a trust boundary. Restoring untrusted bytes must produce a clean, bounded error — never a hang, a crash, or silently corrupted data. The deserializer cross-validates every count field before use.