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Bumps actions/checkout from 4 to 6.

Release notes

Sourced from actions/checkout's releases.

v6.0.0

What's Changed

Full Changelog: actions/checkout@v5.0.0...v6.0.0

v6-beta

What's Changed

Updated persist-credentials to store the credentials under $RUNNER_TEMP instead of directly in the local git config.

This requires a minimum Actions Runner version of v2.329.0 to access the persisted credentials for Docker container action scenarios.

v5.0.1

What's Changed

Full Changelog: actions/checkout@v5...v5.0.1

v5.0.0

What's Changed

⚠️ Minimum Compatible Runner Version

v2.327.1
Release Notes

Make sure your runner is updated to this version or newer to use this release.

Full Changelog: actions/checkout@v4...v5.0.0

v4.3.1

What's Changed

Full Changelog: actions/checkout@v4...v4.3.1

v4.3.0

What's Changed

... (truncated)

Changelog

Sourced from actions/checkout's changelog.

Changelog

v6.0.2

v6.0.1

v6.0.0

v5.0.1

v5.0.0

v4.3.1

v4.3.0

v4.2.2

v4.2.1

v4.2.0

v4.1.7

v4.1.6

... (truncated)

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…hunker, TextUtils and add chunked ingestion for large documents
- QuantizationType enum (NONE, SCALAR_INT8)
- ScalarQuantizer with min/max calibration and INT8 encoding
- QuantizedCosineSimilarity and QuantizedDotProduct SIMD kernels
- SimilarityFunction updated with quantized variants
- ScalarQuantizerTest for encode/decode and batch operations
- PersistenceMode enum (IN_MEMORY, DISK, MMAP)
- IndexFileFormat for binary HNSW serialization
- QuantizedVectorStore with INT8 compression
- InMemoryVectorStore concurrent access improvements
- DiskHnswWriter for binary HNSW graph serialization
- DiskHnswIndex for mmap-based read-only index loading
- QuantizedHnswIndex with INT8 scalar quantization (4x memory reduction)
- BM25Index and HnswIndex performance improvements
- DiskHnswIndexTest and QuantizedHnswIndexTest
- ProductQuantizer: K-Means++ codebook training, PQ encode/decode, ADC
  distance computation, batch encoding
- IvfPqIndex: full IVF-PQ implementing VectorIndex SPI with cluster
  assignment, residual-based PQ encoding, and multi-probe search
- PostingList: per-cluster growable storage for PQ codes
- 14 tests: PQ training/encode/decode/ADC + IVF-PQ search/recall/sorting
- Reranker SPI interface for pluggable re-ranking strategies
- LlmReranker: listwise relevance scoring using Ollama generate API
  with prompt-based 0-10 scoring and graceful fallback
- HybridSearchOrchestrator: integrated optional re-ranking post-processing
- LlmRerankerTest: fallback behavior, empty input, topK limiting
- spector-gpu Maven module with Panama FFM CUDA bindings
- GpuCapability: runtime CUDA detection (device count, name, memory)
- GpuBatchSimilarity: SIMD-optimized batch dot product and cosine
  similarity using FMA Vector API operations
- CudaKernelLauncher: PTX module loader, function resolver, kernel
  launcher with grid/block configuration
- batch_similarity.cu: CUDA kernels for batch_cosine, batch_dot, batch_l2
  with block-level shared memory reduction
- 14 tests: GPU detection, batch similarity correctness, CUDA launcher
…hitecture

- spector-cluster Maven module with gRPC/protobuf integration
- spector_search.proto: 6 RPC definitions (vector, keyword, hybrid
  search, ingest, health check, stats)
- ClusterCoordinator: fan-out/merge query execution via virtual threads
  with consistent hash shard routing
- ShardNode: gRPC server wrapping SpectorEngine
- SpectorSearchServiceImpl: full gRPC service delegating to local engine
- RemoteShardClient: type-safe gRPC client for all 5 RPC methods
- ClusterConfig: multi-node endpoint configuration with replication
- ClusterConfigTest: routing, hash consistency, topology tests
…rEngine

- IndexType enum (HNSW, IVF_PQ) for configurable index strategy
- SpectorConfig: added indexType, ivfNlist, ivfNprobe, pqSubspaces with
  builder methods (withIvfPq) and auto-defaults
- SpectorEngine: IVF-PQ auto-training pipeline that buffers ingested
  vectors and trains PQ codebooks after nlist*40 samples
- Backward-compatible 7-arg constructor preserved
- 4 new tests: auto-training, keyword search during buffering, config
  builder, auto-defaults
- HeavyPerformanceBenchmark: keyword/vector/hybrid at 50K-100K scale
- IvfPqBenchmark: IVF-PQ search, PQ encode/decode, ADC distance, batch
  cosine similarity at 10K-50K scale
- ConcurrencyBenchmark: multi-threaded search throughput
- IngestionBenchmark: document ingestion throughput
- PerformanceTestRunner: standalone runner with formatted results
- pom.xml: added spector-gpu, spector-cluster modules to reactor
  and dependencyManagement
- README.md: expanded architecture (13 modules), 5 new features,
  updated comparison table (quantization, IVF-PQ, GPU, LLM, distributed),
  updated test suite (316+ tests), added roadmap checklist
Extract ~300 lines of duplicated graph traversal code (greedyClosest,
searchLayer, selectNeighbors, addConnection, getNeighbors, setNeighbors)
into AbstractHnswIndex base class with three template method hooks:

- computeDistance(float[], int) — distance from query to stored node
- getNodeVector(int) — float32 vector retrieval for pruning
- storeVector(int, float[]) — vector storage on insertion

HnswIndex: 413 -> 76 lines (-81%)
QuantizedHnswIndex: 476 -> 226 lines (-53%)

All 316+ tests passing, zero regressions.
- VectorIndex: add default isReadOnly() method (returns false)
- DiskHnswIndex: override isReadOnly() to return true
- KeywordIndex: add default remove(String id) method
- BM25Index: expose existing removeDoc() logic via KeywordIndex.remove()

Completes the deletion API path across the engine.
sbharatjoshi and others added 23 commits May 31, 2026 12:43
- Add mycila license-maven-plugin v5.0.0 to root pom.xml
- Create Apache 2.0 header template (src/license/apache2-header.txt)
- Create BSL 1.1 header template (spector-memory/src/license/bsl-header.txt)
- Override plugin in spector-memory/pom.xml for BSL header
- Apply headers to all 533 Java source files:
  - Apache 2.0 for all modules except spector-memory
  - BSL 1.1 for spector-memory (107 files)

Signed-off-by: Bharat Joshi <bharatjoshi@spectrayan.com>
- Add 'mvn license:check' step before the main build
- Fails CI if any .java file is committed without a proper copyright header

Signed-off-by: Bharat Joshi <bharatjoshi@spectrayan.com>
- Add DCO-style CLA section to CONTRIBUTING.md
- Contributors certify IP ownership via 'git commit -s' sign-off
- Covers dual-license: Apache 2.0 (core) + BSL 1.1 (spector-memory)
- PRs without signed-off commits will not be merged

Signed-off-by: Bharat Joshi <bharatjoshi@spectrayan.com>
BREAKING CHANGE: QuantizationType.VASQ → SVASQ, VASQ_4 → SVASQ_4

Rename all VasQ references to SVASQ (Spector Vector-Aligned Scalar
Quantization) to avoid trademark conflict with VasQ™ (Laminate Medical
Technologies Ltd, Nice Class 10 — vascular surgery device).

Marketing name: SpectorQuant
Technical acronym: SVASQ

Changes:
- Package: quantization.vasq → quantization.svasq
- Classes: VasqEncoder → SvasqEncoder, Vasq4Strategy → Svasq4Strategy, etc.
- Enums: VASQ → SVASQ, VASQ_4 → SVASQ_4
- Config: .vasq4() → .svasq4(), .vasqPreCalibrated() → .svasqPreCalibrated()
- Docs: vasq-deep-dive.md → svasq-deep-dive.md
- README: SpectorQuant — SVASQ (Spector Vector-Aligned Scalar Quantization)
- Copyright headers applied to all renamed files
- Delete one-time rename script (scripts/rename-vasq-to-svasq.sh)

Signed-off-by: Bharat Joshi <bharatjoshi@spectrayan.com>
- Change link from ../../#-benchmarks (root README anchor, broken in MkDocs)
  to performance.md (local memory benchmarks page)

Signed-off-by: Bharat Joshi <bharatjoshi@spectrayan.com>
Layer 1 - HebbianGraph:
- Add save(Path)/load(Path) binary persistence with HGPH magic header
- Wire into CognitiveIngestionTarget Step 9b (co-ingestion edge strengthening)
- Wire into RecallPipeline Step 5c (spreading activation, top-3 seeds, 2-hop)
- Builder option: hebbianGraphCapacity(int)

Layer 2 - TemporalChain:
- Off-heap doubly-linked list (16B per node: prev/next/session/flags)
- Wire into CognitiveIngestionTarget Step 9c (session-local sequence linking)
- Wire into RecallPipeline Step 5d (forward/backward 3-hop traversal)
- Binary persistence with TCLK magic header
- Builder option: temporalChainCapacity(int)

Layer 3 - EntityGraph:
- Off-heap entity nodes (64B, 8-byte aligned) + typed edges (12B)
- On-heap ConcurrentHashMap for O(1) case-insensitive name lookup
- BFS traversal with optional relation type filter
- EntityExtractor SPI: NoOp, LlmEntityExtractor (structured prompt)
- Configurable: entityExtractionMode(NONE/LLM/CUSTOM),
  maxEntitiesPerMemory(10), maxRelationsPerMemory(20)
- Wire into CognitiveIngestionTarget Step 9d (extraction + graph population)
- Wire into RecallPipeline Step 5e (query entity → 2-hop memory collection)
- Binary persistence with EGPH magic header + name index serialization

Integration:
- SpectorMemory interface: hebbianGraph(), temporalChain(), entityGraph()
- DefaultSpectorMemory: graph lifecycle (construct/load/save/close)
- MeteredSpectorMemory: pass-through accessors
- All graph components saved on close(), loaded on startup (DISK mode)

Tests: 51 new tests (357 total, 0 failures)
- HebbianGraphPersistenceTest (9)
- TemporalChainTest (11)
- EntityGraphTest (15)
- LlmEntityExtractorTest (8)
- NoOpEntityExtractorTest (3)
…sourceUtils

EntityType: expanded from 8 → 22 types across 7 category groups:
  People & Org (PERSON, ORGANIZATION, TEAM, ROLE),
  Projects (PROJECT, PRODUCT, TASK),
  Knowledge (CONCEPT, TOPIC, SKILL, DECISION),
  Technology (TECHNOLOGY, TOOL, API, ARTIFACT),
  World (EVENT, LOCATION, DATE_TIME),
  Process & Data (PROCESS, METRIC, DOCUMENT), OTHER

RelationType: expanded from 13 → 21 types across 6 category groups:
  People (MANAGES, REPORTS_TO, KNOWS, ASSIGNED_TO, AUTHORED),
  Work (WORKS_ON, CREATED_BY, OWNS, IMPLEMENTS),
  Structure (PART_OF, CONTAINS, DEPENDS_ON, USES),
  Causality (CAUSES, BLOCKS, SUPERSEDES, PRECEDES, FOLLOWS),
  Location (LOCATED_AT), General (RELATED_TO, OTHER)

ResourceUtils (spector-commons):
- Thread-safe classpath resource loader with ConcurrentHashMap cache
- loadResource(), loadResourceOrDefault(), exists(), evict(), clearCache()
- 6 tests

LlmEntityExtractor:
- Prompt externalized to prompts/entity-extraction.txt (classpath resource)
- Uses ResourceUtils for one-time load + permanent cache
- Prompt updated with all 22 entity types and 21 relation types
Phase 1b: CoActivationTracker Off-Heap Migration
- Replaced on-heap ConcurrentHashMap with off-heap open-addressing hash tables:
  - Co-activation pairs: 32B/slot (hashA, hashB, count, flags)
  - STDP edges: 40B/slot (srcHash, tgtHash, weight, lastActivatedMs, activCount, flags)
- FNV-1a 64-bit hash for tag strings → off-heap slot addressing
- Linear probing with ~50% load factor (power-of-2 capacity)
- On-heap ConcurrentHashMap<Long,String> for hash→tag name reverse resolution
- Synchronized writes, lock-free reads (acceptable for soft-scoring)
- Pruning: weakest 10% eviction when table exceeds 50% fill
- Persistence: save(Path)/load(Path) with COAX magic header
- Implements AutoCloseable for arena lifecycle
- All existing CoActivationTrackerTest tests pass (6/6)
- New CoActivationTrackerPersistenceTest: 7 tests (save/load round-trip,
  STDP edges, associated tags, canonical pairs, predictive strength)

Phase 4: ReflectDaemon Graph Decay Wiring
- DefaultSpectorMemory.reflect() now calls hebbianGraph.decayEdges(0.9f)
  after each reflection cycle (biological synaptic homeostasis: 10% decay)
- CoActivationTracker loaded from disk on startup (DISK mode)
- CoActivationTracker saved to disk on close (DISK mode)
- CoActivationTracker.close() called on shutdown

Tests: 357 pass, 0 failures (excluding pre-existing benchmark flake)
…oActivationTracker

Split 901-line CoActivationTracker into 3 focused classes:

OffHeapPairTable (272 lines):
  - Off-heap open-addressing hash table for undirected co-activation pairs
  - Own ReentrantLock for write operations
  - Lock-free reads
  - Self-contained slot layout, probing, pruning, persistence I/O

OffHeapEdgeTable (281 lines):
  - Off-heap open-addressing hash table for directed STDP edges
  - Own ReentrantLock — independent from pair table
  - Lock-free reads
  - Self-contained slot layout, probing, pruning, persistence I/O

CoActivationTracker (439 lines, was 901):
  - Thin coordinator: tag registry + public API + persistence orchestration
  - No more synchronized(this) — pair writes never block edge writes
  - Delegates all hash table operations to the extracted tables

Concurrency improvement:
  - Before: single synchronized(this) lock for ALL writes
  - After: 2 independent ReentrantLocks (pair table + edge table)
  - Pair writes and STDP edge writes execute concurrently

All 357 tests pass, 0 failures.
…rCode integration

New error codes (SPE-310-006..011):
  GRAPH_HEBBIAN_FAILED, GRAPH_TEMPORAL_FAILED, GRAPH_ENTITY_FAILED,
  GRAPH_COACTIVATION_FAILED, GRAPH_PERSISTENCE_FAILED, GRAPH_DECAY_FAILED

Exception hierarchy:
  SpectorMemoryException
    └── SpectorGraphException (base)
        ├── SpectorHebbianException         (SPE-310-006)
        ├── SpectorTemporalChainException   (SPE-310-007)
        ├── SpectorEntityGraphException     (SPE-310-008)
        ├── SpectorCoActivationException    (SPE-310-009)
        ├── SpectorGraphPersistenceException(SPE-310-010)
        └── SpectorGraphDecayException      (SPE-310-011)

Follows established patterns:
  - Each exception binds a default ErrorCode
  - Constructor args fill {} template placeholders — no concatenation
  - Typed context fields (operation, graphType, path, details)
  - Formatting happens inside the exception via errorCode.format(args)

Pipeline catch sites updated:
  - CognitiveIngestionTarget: steps 9b/9c/9d use granular exceptions
  - RecallPipeline: steps 5c/5d/5e use granular exceptions
  - DefaultSpectorMemory.reflect: uses SpectorGraphDecayException
  - LlmEntityExtractor: uses SpectorEntityGraphException
  - All persistence throws: use SpectorGraphPersistenceException
  - Replaced catch(Exception) with catch(RuntimeException)
  - Replaced UncheckedIOException with SpectorGraphPersistenceException

Null guards added:
  - EntityGraph.addEntity/findEntity: null/blank name → -1
  - EntityGraph.addEntity: null type → EntityType.OTHER
  - CoActivationTracker.recordCoActivation: null tags → no-op

All 357 tests pass, 0 failures.
Documents all 4 shipped phases, error framework, test coverage (357 tests),
and the full integrated recall pipeline flow.

Future roadmap:
  Phase 5a: Temporal chain pruning during consolidation
  Phase 5b: Cross-layer promotion (Hebbian → Entity relations)
  Phase 5c: Entity graph decay + weak node merging
  Phase 6: Graph-aware scoring weights (GraphScoringPolicy)
Shipped (✅):
  - 3-Layer Cognitive Graph (Hebbian, Entity, Temporal)
  - 6 error codes, 7 granular exceptions
  - 357 tests, 0 failures

Planned (🔜):
  - Temporal chain pruning during consolidation
  - Cross-layer promotion (Hebbian → Entity)
  - Entity graph decay + weak node merging
  - GraphScoringPolicy configurable weights

Summary table updated: 20 items, categorized by domain.
…dards

SKILL.md:
  - Replaced minimal error handling section with comprehensive
    SpectorException framework guide
  - Covers: hierarchy tree, ErrorCode registry, exception creation
    patterns, throw/catch site patterns, anti-patterns
  - Added exception handling to trigger list

exception-hardening.md (NEW):
  - 9-step workflow for auditing and hardening exceptions
  - Audit anti-patterns (grep commands)
  - Create ErrorCode + granular exception
  - Fix throw sites and catch sites
  - Verify and commit
  - Invocable via /exception-hardening
hebbian.md: Full rewrite — now documents all 3 layers:
  - Layer 1: HebbianGraph (164B/node off-heap) + CoActivationTracker
    (OffHeapPairTable 32B/slot + OffHeapEdgeTable 40B/slot)
  - Layer 2: EntityGraph (64B/entity, 12B/edge, 22 types × 21 relations)
  - Layer 3: TemporalChain (16B/node doubly-linked list)
  - Error framework (SpectorGraphException hierarchy)
  - Memory budget table, persistence formats, pipeline integration

architecture.md:
  - Added Steps 9b-9d (Hebbian, Temporal, Entity) to ingestion flow
  - Added Steps 5c-5e to recall flow
  - Added graph nodes to package dependency diagram

index.md:
  - Updated biological metaphor diagram with 3-Layer Cognitive Graph
  - Added Cognitive Graph card to explore section

scoring-pipeline.md:
  - Added Graph Augmentation section (post-scorer Steps 5c/5d/5e)
  - Mermaid diagram showing seed → graph → merge flow

mkdocs.yml:
  - Moved Modules section under Architecture (reduces top-level nav)
  - Renamed 'Hebbian' to '3-Layer Cognitive Graph'
New file: docs/docs/memory/biological-systems.md
  - Brain-to-code mapping table (12 systems)
  - Mermaid architecture diagram
  - Key mathematical models with LaTeX:
    * Ebbinghaus forgetting curve (decay buckets)
    * Bjork & Bjork reconsolidation (spacing effect)
    * Schultz dopamine prediction error (Z-score)
    * Hebbian edge strengthening + decay
    * Bi & Poo STDP learning rule
    * Thompson & Spencer habituation penalty
  - 14 academic references with DOI links
  - Grid card navigation to each subsystem

mkdocs.yml: Added Overview entry to Biological Systems nav
SpectorMemory gained hebbianGraph(), temporalChain(), and entityGraph()
during the cognitive graph feature. The DummySpectorMemory test stub in
spector-metrics was missing these methods, causing compilation failure.

Added: entityGraph(), hebbianGraph(), temporalChain() → all return null.
Also fixed broken anchor link in labs/roadmap.md → hebbian.md.
- Angular 21 standalone app with zoneless change detection
- Angular Material 3 theme (dark/light toggle, M3 tokens only)
- Signal-based reactive architecture (CortexStateService)
- MockDataService with toggleable simulated events
- ThemeService for dark/light mode

Core services:
- CortexStateService: 20+ signals for query, graph, metrics, system state
- MockDataService: realistic runtime data generation (queries, graph pulses,
  reflect cycles, vector embeddings, metrics, habituation)

12 visualization panels:
- Neural Graph: Three.js 3D graph, 200 nodes, 3 edge types, particles,
  layer toggles, profile visual transforms, consolidation animation
- Vector Space: Three.js 300-point embedding cloud with query dot
- Scoring Pipeline: animated 6-phase cognitive funnel
- Live Metrics: Canvas multi-line time-series chart
- Cognitive Profile: Canvas 6-axis radar chart
- SIMD & Hardware: Canvas 16-lane register heatmap
- Memory Heatmap: off-heap segment utilization bars
- Decay Curve: Ebbinghaus + LTP reconsolidation overlay
- Query Input: unified search bar with progress indicator
- Query History: scrollable timeline with profile/latency chips
- Zeigarnik Tracker: unresolved task tension gauge
- Habituation Meter: IoR/satiation/penalty gauges

Layout:
- Responsive 3-column CSS Grid with mat-card panels
- Staggered fade-in animations
- Header with connection status, profile chip, latency badge
- docs/docs/cortex/index.md: comprehensive dashboard docs with
  embedded screenshot, architecture diagrams, panel deep dives,
  project structure, design principles, SSE event mapping
- docs/docs/modules/spector-cortex.md: module page with tech stack,
  dependency diagram, and links to full docs
- mkdocs.yml: add 🧬 Cortex Dashboard nav section and spector-cortex
  to the Modules list
The previous sync-wiki job hardcoded ~15 specific file copies and ~15
sed link replacements, which meant new docs (cortex, memory subsystems,
deep-dives) were never synced to the GitHub Wiki.

New approach:
- Auto-discovers ALL .md files under docs/docs/ via find
- Generates wiki-friendly page names from path conventions
  (dir/file.md → Dir-File.md, dir/index.md → Dir.md)
- Copies images and screenshots to wiki-accessible paths
- Converts MkDocs-specific syntax (admonitions, tabs, snippets)
  to GitHub-compatible markdown
- Auto-generates _Sidebar.md by parsing mkdocs.yml nav with Python
- Removes need to manually update the workflow when new docs are added
- Add Docs badge linking to spectrayan.github.io/spector/
- Add 📖 Documentation section with links to MkDocs site,
  GitHub Wiki, Cognitive Memory, Neural Dashboard, API Reference,
  and MCP Server docs
- Remove push-only condition that caused wiki sync to skip on
  workflow_dispatch and after pages deploy
- Add 'wiki_only' input to workflow_dispatch — when set to 'true',
  skips pages build/deploy and only syncs wiki
- Use always() + result check so sync-wiki runs after both
  successful deploy AND when deploy is skipped (wiki-only mode)

Usage:
  - Push to docs/ → builds pages + syncs wiki (both)
  - Manual trigger (wiki_only=false) → builds pages + syncs wiki
  - Manual trigger (wiki_only=true) → syncs wiki only (fast)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](actions/checkout@v4...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot
dependabot Bot force-pushed the dependabot/github_actions/actions/checkout-6 branch from bfffcbc to 084661b Compare May 31, 2026 23:40
sbharatjoshi added a commit that referenced this pull request Jun 1, 2026
README:
- Add VASQ-4 to features, programmatic API example, configuration table
- Update architecture differentiators and compression highlights
- Update roadmap: VASQ-4 done, add pending items (#2-#6)

Docs:
- vasq-deep-dive.md: add full VASQ-4 section (memory layout, calibration,
  SIMD kernel, usage tabs, expected recall table)
- quantization-comparison.md: update Spector approach, tables, recall tiers
- roadmap.md: new detailed roadmap page covering all 10 items with status,
  projected savings, and implementation scope
- mkdocs.yml: add Roadmap to nav
@dependabot @github

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dependabot Bot deleted the dependabot/github_actions/actions/checkout-6 branch June 1, 2026 13:57
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