Canonical Trust Hub / Systems Verification Record

Evidence, telemetry, and verified claims.

Every technical, architectural, and performance claim across this site binds directly to physical silicon telemetry, public git source code, cryptographic receipts, or structured forensic audit logs.

Physical Silicon Receipt: NVIDIA DGX Spark Grace Blackwell GB10

Run ID: gb10_canonical_1789907893_4d762 | Platform: GB10 (sm_121, 128 GB Unified LPDDR5X, NVLink-C2C 900 GB/s)

2.06 µsMedian Fork Latency (500 branches, 32K context)

500.0xPhysical Memory Reduction (704 MB vs 343.75 GB)

553.14 tok/sPeak Continuous Batching (TinyLlama-1.1B @ C=16)

13.04 µsCold Fork to First Token (0 CPU Fallback)

$ cd benchmarks && cargo run --release --bin bench_canonical_suite

Evidentiary standard

The evidence hierarchy: six distinct classes.

Evidence classes reflect varying degrees of independent verification. Public Reproductions and Public Sources are verifiable by independent third parties on standard hardware. Private Audit Records and Historical Records rely on archived workstation telemetry and structured forensic packages. Self-Reported accounts document operator intent.

Highest (Empirically Reproducible by Third Parties)

Public Reproduction

Independently runnable code artifacts with open reproduction harnesses, fixed random seeds, and machine-verifiable receipts.

High (Inspectable in Public Repositories)

Public Source

Publicly visible git repository source code, commit histories, PR reviews, and automated CI test runs.

High (Peer-Reviewable Methodology)

Publication

Formal research manuscripts, architectural specifications, and published systems evaluation papers.

Moderate (Internally Documented with Audit Package)

Private Audit Record

Structured forensic audit packages, frozen evaluation test suites, and internal test logs preserved from private development runs.

Contextual (Reconstructed Historical Evidence)

Historical Record

Archived workstation commit trees, migration ledgers, timeline records, and conversation history exports.

Foundational (Personal Narrative and Primary Experience)

Self-Reported

First-person narrative accounts, architectural intent statements, and operational reflections.

Structured Claims Catalog

Verifiable systems claims index.

Filter claims by category or link directly to any claim ID anchor from documentation or research citations. Claims marked REGENERATING are withdrawn until their artifact bundles meet the current evidence standard.

PUBLIC REPRODUCTIONInference & BranchingREGENERATING

#claim-branching-fork-gb10

2.06 µs Zero-Copy Sequence Branching on Grace Blackwell

On physical NVIDIA DGX Spark Grace Blackwell GB10 hardware (sm_121), spawning 500 concurrent reasoning branches from a 32,768-token prefix completes in 1.20 ms total, measuring a median fork latency of 2.06 µs per branch. Physical paged KV allocation requires 704.00 MB across 2,048 shared blocks with zero duplicate pages, representing a 500.0x memory reduction compared to naive 352,000 MB buffer replication.

$ cd benchmarks && cargo run --release --bin bench_canonical_suite

PUBLIC REPRODUCTIONInference & BranchingREGENERATING

#claim-continuous-batching-gb10

553.14 tokens/sec Continuous Batching Peak on TinyLlama-1.1B

Physical Grace Blackwell GB10 continuous batching execution of TinyLlama-1.1B BF16 achieves a peak throughput of 553.14 tokens/sec at concurrency C=16 with 23.56 ms p50 step latency and 27.89 W GPU power. Saturated concurrency at C=64 yields 510.16 tokens/sec with 101.70 ms step latency, 42.52 W power, and 96% GPU utilization, maintaining zero CPU fallback across all steps.

$ cd benchmarks && cargo run --release --bin bench_canonical_suite

PUBLIC REPRODUCTIONInference & BranchingREGENERATING

#claim-cold-fork-latency

13 µs Cold Fork to First Token

Cold sequence branch initiation from a 32,768-token shared prefix to first token generation executes in 13.04 µs (0.013 ms) on Grace Blackwell GB10, requiring only 1 physical page allocation for copy-on-write tail divergence.

$ cd benchmarks && cargo run --release --bin bench_canonical_suite

PUBLIC REPRODUCTIONMemory & KV CacheREGENERATING

#claim-cow-mutation-latency

13.30 µs Copy-on-Write Page Mutation

Copy-on-write page mutation during branch divergence executes in 13.30 µs (13,297 ns) on physical unified memory, isolating sequence state while peer branches proceed concurrently.

$ cd benchmarks && cargo run --release --bin bench_canonical_suite

PUBLIC REPRODUCTIONMemory & KV CacheREGENERATING

#claim-kv-pool-allocation

134M Blocks/Sec KV Allocation Throughput

Pure Rust paged memory pool manager achieves 134,338,182 block allocations per second (7.44 ns per block) and 238,709,061 deallocations per second (4.19 ns per block) using deterministic O(1) bitmapped indexing over pre-allocated unified buffers.

$ cd aien-sovereign-core && cargo test -p aien-kv-cache --release

PUBLIC SOURCESecurity ArchitectureVERIFIED

#claim-zero-disk-secrets

Dynamic In-Memory Resolution from Hardware TPM 2.0

Plaintext secrets, API keys, and private credentials resolve dynamically into volatile process memory from the physical TPM 2.0 security chip (/dev/tpmrm0) on Linux and Secure Enclave / Keychain on Apple Silicon, keeping persistent storage free of plaintext keys.

$ cd aien-sovereign-core && cargo test --test test_tier1_feature_coverage test_f17_02_secrets_resolve_via_tpm_vault

PUBLIC SOURCEHardware EvaluationVERIFIED

#claim-hardware-matrix

Evidence-Based Multi-Platform Support Matrix

AIEN documents explicit verification tiers rather than generic universal support. Physical runtime and benchmarks are verified on NVIDIA DGX Spark Grace Blackwell GB10 (Primary Reference). Apple Silicon macOS and generic Linux x86_64 are validated runtime targets with CI testing. AMD ROCm is architected with HIP bindings pending physical cluster validation.

PUBLIC REPRODUCTIONAutonomous Multi-AgentREGENERATING

#claim-memory-rss-aegis

4.8 MB Resident Set Size for Native Agent Daemons

Standalone native compiled Rust daemons execute in under 10 megabytes of memory footprint: aegis-runtime (formerly openclaw-rs) operates at 4.8 MB RSS, spark-cockpit-rs at 8.6 MB RSS, and cortex-rs at 10.3 MB RSS, compared to 45.3 MB for a minimal Uvicorn route and 3,737 MB for an unquantized Python agent runtime loading PyTorch and LangChain.

$ cd benchmarks && python3 -m unittest discover -s tests

PUBLIC REPRODUCTIONAutonomous Multi-AgentREGENERATING

#claim-axum-latency

3.56 ms p50 TTFB Gateway Latency under Load

Native Axum microservices deliver sub-4 ms response times under concurrent load (3.56 ms p50 at 2,056 requests/sec on cortex-rs /api/get, and 4.30 ms p50 at 1,921 requests/sec on spark-cockpit-rs), compared to 38.4 ms at 214 requests/sec on a standard asynchronous Python FastAPI route.

$ cd benchmarks && python3 -m unittest discover -s tests

PUBLIC REPRODUCTIONHardware EvaluationREGENERATING

#claim-query-vectorization

4.09 ms Query Vectorization via Native ONNX INT8

Short query vectorization executes in 4.09 ms using the native ONNX Runtime C-API with INT8 quantization on Grace Blackwell workstation silicon, generating normalized 768-dimensional embeddings for memory indexing.

PRIVATE AUDIT RECORDSecurity ArchitectureVERIFIED

#claim-aegis-adapter-eval

59 of 62 Checks Passed in Frozen Project Evaluation

The August 20, 2026 AEGIS defender adapter passed 59 of 62 checks (95.2%) in a frozen evaluation suite: 45/45 on tool use, 8/10 on coding, 3/4 on science, and 3/3 on cybersecurity containment actions within authorized estate boundaries.

HISTORICAL RECORDAutonomous Multi-AgentDOCUMENTED

#claim-symphony-first-run

First Documented Symphony Multi-Model Run (July 30, 2026)

First documented Atlas Symphony run executed on July 30, 2026, invented and operated by Drake Stapleton. It established bounded work lanes, human operator gates, and coordinated review across Claude, Codex, and Grok with zero unmonitored agent autonomy.

HISTORICAL RECORDOperational HistoryDOCUMENTED

#claim-workstation-history

4,701 Workstation Commits Across 94 Project Trees

Between April 2025 and August 2026, internal workstation logs document 4,701 commits across 94 project trees, verifying the progression from early ledger accounting and CRM systems to autonomous multi-agent orchestration and compiled cognitive runtimes.

HISTORICAL RECORDOperational HistoryDOCUMENTED

#claim-defiantmob-production

DefiantMob Production Operator Desk with 94 Merged PRs

DefiantMob production operator software reached live operation with 250 commits, 94 merged pull requests, and automated member management, ledgers, and payout tracking.

Historical forensic scope

Forensic audit package coverage.

The nine-file audit package catalogs workstation commit records, pull request histories, and operational systems spanning 16 months of development.

33project records in the handoff

168evidence claims cataloged

88dated timeline events

180merged pull requests retrieved

Forensic findings

Documented production systems.

MobHub and Defiant Mob reached production

The record covers source, testing, deployment, restoration, and repair. The retrieved Defiant history includes 94 merged pull requests. MobHub includes 24 and a verified Raspberry Pi auto-deployment path.

Atlas developed into a sustained engineering program

The audit found 64 Atlas Harness pull-request records, including 62 merges. The retrieved work covers durable jobs, provider adapters, an operator board, evidence controls, an Obsidian knowledge base, an encrypted Context Vault, recovery source, governance, and personal-model lifecycle controls.

The personal-model experiment reached private inference

A Devstral adapter trained on an H100 using 143 samples. A later vLLM service exposed devstral-personal, and the model-list request, Atlas probe, and chat smoke test succeeded.

Community leadership produced documented results

The Nemesis record documents direct outreach, member movement during a transition, a 46-member roster with 39 active members, two officer-development cycles, and a planned handoff to new leaders.

Human-resources work produced operating tools

The evidence includes credentialing workbooks, an education-repayment agreement, performance-review redesign, separation documentation, leave and benefit workflows, recognition systems, and manager tools. The audit distinguishes AI-assisted drafting from my decisions and implementation.

GPU compute orchestration follows probe-first principles

Atlas manages two billed GPU seats on ARM64 hardware through a hub-and-spoke control plane. The system treats all status, health, and metadata requests as side-effect-free probes, ensuring billing is only initiated by verified, intentional 'up' commands.

Verification roadmap

Ongoing provenance and validation.

The original ChatGPT data export will add an account-wide history.
Privacy-controlled Discord and Torn exports will support a broader community record.
Full repositories, release artifacts, host logs, model hashes, migration ledgers, and restore tests will deepen the lifecycle record.
Future Atlas milestones include a final merged-model export, cross-session memory, voice, persistent world interaction, physical embodiment, and physical shutdown verification.
Atlas language ties every technical claim to the mechanism and source that supports it.

Systems Record

Built, operated, and verified on silicon.

Technical leadership requires measuring execution directly on target hardware rather than assuming theoretical metrics.

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