CoreAI_HTCE

CoreAI released HTCE-Origin v1.0, a Q256 integer-only toroidal cognitive runtime designed for bounded, evidence-gated reasoning and adaptive memory. The system operates as a single runtime object with L1/L2/L3 state transitions, proof-gated memory, and active-agent simulation, intended for simulation-only adaptive agency and auditable memory. The release explicitly does not claim AGI, consciousness, or real-world autonomy.

HTCE-Origin v1.0 https://private-user-images.githubusercontent.com/99619093/607630420-e8d3c161-6366-4b01-9548-7f063bcece04.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3ODE0NjgyNDIsIm5iZiI6MTc4MTQ2Nzk0MiwicGF0aCI6Ii85OTYxOTA5My82MDc2MzA0MjAtZThkM2MxNjEtNjM2Ni00YjAxLTk1NDgtN2YwNjNiY2VjZTA0LnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNjA2MTQlMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjYwNjE0VDIwMTIyMlomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPTg4ZGExOWVkZWMyZjJlODA3YTBjMzRjNzk0NzZjZGFlYmUzZDcxYjQ2ODk5N2RiZjAwOGVhYTg0NzA2Mzg5NDAmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0JnJlc3BvbnNlLWNvbnRlbnQtdHlwZT1pbWFnZSUyRnBuZyJ9.O3MH2cPveyd0PJ jDuV9aAgvfQGgodSRE 8xV7fmnEE Q256 integer-only toroidal cognitive runtime with L1/L2/L3 state, proof-gated memory, bounded active-agent simulation, continual adaptive memory, and no-cross-domain regression probes. HTCE-Origin v1.0 final math Q256 clean A clean, single-runtime, simulation-safe cognitive architecture for evidence-bound reasoning and adaptive memory. What HTCE-Origin Is what-htce-origin-is What HTCE-Origin Is Not what-htce-origin-is-not Why This System Exists why-this-system-exists Core Design Principle core-design-principle Mathematical Foundation mathematical-foundation Architecture Overview architecture-overview L1/L2/L3 Cognitive Stack l1l2l3-cognitive-stack AIR: The Bounded Runtime Language air-the-bounded-runtime-language Fact-as-Delta Memory fact-as-delta-memory Proof, Evidence, Policy, and Topology Gates proof-evidence-policy-and-topology-gates Living Simulation Loop living-simulation-loop Adaptive Memory and Continual Learning adaptive-memory-and-continual-learning No-Cross-Domain Regression no-cross-domain-regression Protected Trace and Release Integrity protected-trace-and-release-integrity What the v1.0 Release Proves what-the-v10-release-proves How HTCE-Origin Differs from Common AI Stacks how-htce-origin-differs-from-common-ai-stacks Repository Layout repository-layout Installation installation Quick Start quick-start Acceptance and Verification acceptance-and-verification Example Runtime Interactions example-runtime-interactions Generated Artifacts generated-artifacts Claim Boundary claim-boundary Development Philosophy development-philosophy Roadmap After v1.0 roadmap-after-v10 License and Commercial Use license-and-commercial-use HTCE-Origin is a clean v1.0 build of a Q256 integer-only toroidal cognitive runtime . It is designed as a bounded, auditable, simulation-safe cognitive system where memory, reasoning, dialog state, action policy, homeostasis, topology checks, and adaptive learning all run through one runtime object: HTCERuntime The v1.0 build is not a set of disconnected demos. The same runtime carries: - natural-language-to-AIR intake for bounded statements and dialog turns; - L1/L2/L3 toroidal state transitions; - fact-as-delta memory; - latest-state, supersession, and contradiction quarantine; - proof, evidence, policy, and topology gates; - active-agent grid-world simulation; - dialog slot memory and simulated API-call policy; - sleep/L3 consolidation; - continual adaptive memory; - multi-task no-regression probes; - protected trace and cryptographic release manifest. The correct short description is: HTCE-Origin v1.0 is a bounded, evidence-gated, torus-native cognitive runtime for simulation-only adaptive agency and auditable memory. This repository intentionally does not claim: - Artificial General Intelligence; - consciousness; - qualia; - biological life; - real-world robotic autonomy; - board-measured hardware performance; - unrestricted open-world natural language understanding; - replacement of large language models for broad text generation. All real-world action is disabled in this clean release: allow real actions = false simulation only = true The system is allowed to act only inside bounded simulation paths unless a future audited release explicitly changes that boundary and passes a separate safety case. Most AI applications today are built around one of the following patterns: - a large language model prompt; - a retrieval-augmented generation pipeline; - a tool-using agent wrapper; - a neural policy model; - a symbolic rules engine; - a hybrid orchestration layer. These systems can be useful, but they often lack built-in runtime invariants for: - refusing unsupported answers; - preserving evidence provenance; - separating active facts from superseded facts; - quarantining contradictions; - preventing answer-key leakage during evaluation; - proving that learning in one domain did not damage another domain; - enforcing simulation-only action boundaries; - keeping memory updates auditable through a protected trace. HTCE-Origin addresses this by treating cognition as a bounded state transition system over an integer toroidal phase space. Instead of treating memory as a text buffer or hidden vector alone, the runtime treats events, facts, rules, sensor packets, goals, and dialog slots as phase deltas and gated state transitions. The core design rule is: No answer or simulated action is allowed to bypass the runtime gates. Every meaningful transition must pass through some combination of: Input / NLU / AIR → Policy gate → Evidence gate → Proof layer → L1/L2/L3 state transition → Topology guard → Protected trace → RuntimeResponse This makes the system slower and narrower than unconstrained text generation, but it gives the runtime a very different property: it is optimized for bounded correctness , traceability , and non-hallucinating refusal , not unconstrained fluency. The runtime uses an integer modulus: A toroidal state vector is represented as: A transition is a modular update: where: - $\mathbf{x} t$ is the current toroidal state; - $\Delta t$ is an integer phase delta derived from observation, fact, rule, or simulated action; - $N$ is the Q256 modulus; - $d$ is the fixed state dimension. The decision path is integer-only. Human-readable percentages or basis points may appear in reports, but they are report-layer summaries, not floating-point decision variables. For one coordinate, the circular distance is: For a vector state: This gives the runtime a native topology-aware notion of change: large modular jumps can be detected as anomalous even if the raw representation wraps around. A fact is not treated as plain text. A supported fact produces a canonical delta: where: - $s$ is the subject; - $r$ is the relation; - $o$ is the object/value; - $e$ is the evidence identifier. The fact key is usually relation-specific: The fact payload is hashed into a bounded integer delta: The memory status is one of: ACTIVE SUPERSEDED QUARANTINED UNKNOWN This supports latest-state reasoning while keeping old history available for trace and audit. When a new fact shares the same key and the new fact becomes active: This is used for locations, dialog slot corrections, and other latest-state updates. Example: FACT Mary located in office EVID ev1 FACT Mary located in garden EVID ev2 QUERY Mary location EVID q1 The runtime should answer: ANSWER: garden while preserving the previous office state as superseded evidence. A contradiction is not treated as a normal update. If a fact and its negation cannot be reconciled, the target key is quarantined: A query against a quarantined target must not produce a normal answer: This is one of the core anti-hallucination principles of the runtime. The trace is a hash-linked sequence of events: where: - $h t$ is the current trace head; - $h {t-1}$ is the previous trace head; - $event t$ is the canonical event payload; - $H$ is SHA-256 in the release artifacts. Any change to the event sequence changes the final trace head. The living simulation uses an integer expected-free-energy-like cost. In this release it is a bounded surrogate, not a claim of biological free energy minimization. A simplified form is: The selected simulated action is: where all costs are integer raw values. No real action is authorized by this process. For continual adaptive memory, an episode cost can be represented as: where: - $S E i $ is the number of simulated steps; - $Q E i $ is the number of clarification turns; - $R E i $ is the number of recovery or risk events. For a repeated target, improvement is verified when: or, for a strict improvement claim: For multi-domain learning, each domain No cross-domain regression means: In the v1.0 clean revalidation artifact, the domain cost histories remain bounded at zero for the built-in P28 domains. At a high level: User / Benchmark / Simulation Input │ ▼ NLU → AIR bridge / AIR parser │ ▼ Policy gate ── Evidence gate ── Proof layer │ ▼ HTCERuntime │ ├── L1 sensory torus ├── L2 episodic/fact memory ├── L3 semantic/provisional rule cortex ├── Q256 world model ├── active-inference surrogate planner ├── homeostasis state ├── topology guard ├── snapshot/export path └── protected trace │ ▼ RuntimeResponse: ANSWER / ASK CLARIFICATION / REFUSE / ACT SIMULATED / BLOCK The most important architectural rule is that the system should not have multiple independent behavioral shells. Dialog, grid-world, active-agent behavior, proof-gated action, and continual adaptation are all routed through the same runtime line. L1 is the fast toroidal sensory layer. In v1.0, it is used primarily for bounded simulation input and deterministic sensor packets. L1 handles: - grid-world observations; - local agent position; - heartbeat updates; - deterministic integer sensor encoding; - active-agent loop state. It does not claim full real-world vision/audio/proprioception. Those require future audited encoders. L2 stores active facts, superseded facts, and quarantined contradictions. It supports: - latest-state query; - object carried-by relation; - location chaining; - dialog slot memory; - correction through supersession; - contradiction quarantine; - evidence-linked fact records. Examples: FACT current dialog restaurant 1 has slot value cuisine=italian EVID d1 FACT current dialog restaurant 1 has slot value price=cheap EVID d2 QUERY current dialog restaurant 1 api call ready EVID q1 If location is missing, the runtime must ask for clarification rather than fabricate a location. L3 stores provisional hints and rules produced by sleep/consolidation. It is intentionally restricted: - L3 can propose a hypothesis; - L3 can help select a path; - L3 can store adaptive hints; - L3 cannot bypass proof gates; - L3 cannot directly authorize unsupported factual answers. A valid runtime response must still pass through proof/evidence/policy checks. AIR is the controlled interface language used by the runtime. It prevents arbitrary text from directly becoming authority. Typical forms: FACT <subject <relation <object EVID <evidence id QUERY <subject <query type EVID <evidence id NEGATE <subject <relation <object EVID <evidence id PROC <procedure name ENSURES <condition EVID <evidence id Examples: FACT mary located in office EVID ev1 QUERY mary location EVID q1 Expected response: ANSWER: office Natural language can be bridged into AIR for supported bounded forms: Mary went to the office. Where is Mary? Internally this becomes a controlled fact/query sequence. Unsupported or ambiguous input should lead to: ASK CLARIFICATION not hallucinated completion. The memory layer is one of the most important parts of HTCE-Origin. Input: Mary went to the office. Mary went to the garden. Where is Mary? Expected output: ANSWER: garden The old state is not erased. It becomes superseded. Input: Mary picked up the football. Mary went to the garden. Where is the football? Expected output: ANSWER: garden The answer is derived from a proof chain: carried by football, mary located in mary, garden -------------------------------- located in football, garden This is different from a parser shortcut. The runtime must preserve the chain. Input: I want Italian food in Rome. Actually, make it Chinese. Make it cheap. Book a table. Expected simulated action: api call domain=restaurant cuisine=chinese location=rome price=cheap The correction is represented as supersession: cuisine=italian → SUPERSEDED cuisine=chinese → ACTIVE HTCE-Origin uses multiple gates because no single check is sufficient. Evidence is attached to accepted facts and proof paths. A fact without evidence cannot become an authoritative answer. The proof layer decides whether a statement can be supported from active memory, rules, and allowed derivation patterns. For a statement: proof authorization can be described as: Policy separates four cases: ANSWER supported response ASK CLARIFICATION missing information REFUSE contradiction / unsupported claim / policy block ACT SIMULATED proof-gated simulation-only action Missing information is not treated as a hard refusal. It is a normal dialog step. The topology guard checks whether state transitions remain within expected structural boundaries. It tracks integer topological diagnostics such as Betti-style indicators and anomaly scores. A topology anomaly can block or quarantine a path. Even if a simulated action is authorized, real action remains blocked in v1.0: ACT SIMULATED = ACT REAL HTCE-Origin v1.0 contains a bounded active-agent simulation. It is not a claim of biological life or consciousness. It is an engineering loop that gives the runtime an internal perception-action cycle. The loop is: heartbeat → L1 observation → Q256 world-model prediction → integer action scoring → simulated action → prediction error → homeostasis update → trace append The agent can move in a small simulated grid-world, update homeostatic variables, and select actions through integer cost minimization. Homeostasis tracks variables such as: energy bp risk bp uncertainty bp novelty bp sleep pressure bp integrity bp These are not subjective feelings. They are integer control variables used for simulation and safety. The system includes a bounded sleep/consolidation mechanism. The high-level process is: episode → trace and L2 facts → sleep/consolidation → L3 provisional hints → next episode → improvement / no-regression probes In P26/P27 development, the system demonstrated that repeated episodes can reduce cost or hold optimal cost while preserving previous knowledge. A simplified improvement condition is: or, after convergence: without regression. The v1.0 line includes multi-domain probes over: grid nav dialog slots babi reasoning contradiction The purpose is to test catastrophic interference. The runtime should not improve or update one domain while damaging another. A probe matrix is run after consolidation cycles: train/update grid nav → probe grid nav/dialog slots/babi reasoning/contradiction train/update dialog slots → probe grid nav/dialog slots/babi reasoning/contradiction train/update babi reasoning → probe grid nav/dialog slots/babi reasoning/contradiction train/update contradiction → probe grid nav/dialog slots/babi reasoning/contradiction The release artifact reports zero-cost histories for the built-in P28 stress domains. Every meaningful runtime event is appended to a hash-chain trace. The trace can be verified after execution. Typical trace events include: - runtime wake; - fact commit; - query; - proof authorization; - policy decision; - simulated action; - topology check; - sleep/consolidation; - artifact export; - manifest verification. The release contains: RELEASE MANIFEST.json HASHES.txt These files provide SHA-256 hashes for source and release-critical files. The intended rule is simple: If a critical file changes, the manifest must change, and verification must be rerun. The clean v1.0 package reports the following verified properties in its artifacts and acceptance stages: compileall: PASS float literals in htce origin: 0 version sync: PASS invariants: PASS 16/16 release manifest: PASS trace verify: PASS topology acceptance: PASS hardware width verification: PASS long run stability smoke: PASS benchmark: PASS 7/7 official harness smoke: PASS no leakage: PASS v1 clean system revalidation: PASS The v1.0 clean-system revalidation reports: external rows passed: 15 / 15 external false support count: 0 answer key visible to engine count: 0 dialog loader strict passed: true no external regression: true proof gates passed: true topology gates passed: true trace verified: true real actions allowed: false simulation only: true This does not prove general intelligence. It proves a bounded set of runtime properties: - integer-only protected runtime path; - single-runtime integration; - proof-gated answers; - simulation-only actions; - no answer-key leakage in the v1.0 external-shaped test; - dialog/action slot correction; - contradiction quarantine; - adaptive simulation loop; - continual no-regression probes; - release integrity via manifest and trace. The following comparison is deliberately narrow and engineering-focused. It does not claim that HTCE-Origin is more fluent, larger, or more generally capable than modern language models. | Capability | Typical LLM Prompt | Typical RAG | Agent Wrapper | HTCE-Origin v1.0 | |---|---|---|---|---| | Built-in evidence gate | No | Partial | Usually external | Yes | | Proof-gated answer path | No | Rare | Usually external | Yes | | Contradiction quarantine | No | Rare | Usually custom | Yes | | Latest-state supersession | Prompt-dependent | Index-dependent | Custom | Yes | | No-answer-leakage benchmark discipline | External | External | External | Built into release tests | | Simulation-only action boundary | No | No | Custom | Yes | | Protected trace hash-chain | No | Usually no | Custom | Yes | | Integer-only decision core | No | No | No | Yes | | Toroidal L1/L2/L3 state | No | No | No | Yes | | Continual no-regression probes | No | No | Rare | Yes | | Cross-domain regression matrix | No | No | Rare | Yes | | Claim boundary encoded in artifacts | No | No | Rare | Yes | The key difference is not that HTCE-Origin replaces an LLM. The key difference is that HTCE-Origin makes several safety and verification properties part of the runtime contract rather than optional wrapper behavior. Most competing systems do not provide all of the following as a single built-in runtime assembly: Q256 integer-only state + toroidal L1/L2/L3 runtime + fact-as-delta memory + active/superseded/quarantined fact status + proof/evidence/policy gate stack + topology guard + protected trace hash-chain + simulation-only action boundary + no-leakage benchmark discipline + continual no-regression probes + cross-domain regression matrix This is the strongest technical value proposition of HTCE-Origin v1.0. Representative structure: HTCE-Origin/ ├── htce origin/ │ ├── body/ │ │ ├── runtime.py HTCERuntime, lifecycle, living/dialog/adaptive/multitask loops │ │ ├── layers.py L1/L2/L3 body state │ │ └── memory.py fact-as-delta memory │ ├── cognition/ │ │ ├── cortex.py associative cortex / L3 provisional hints │ │ ├── learning.py consolidation support │ │ ├── l3 promotion.py L3 rule promotion │ │ └── world.py Q256 world model │ ├── control/ │ │ ├── homeostasis.py homeostatic integer state │ │ └── planner.py simulation-only planning │ ├── evaluation/ │ │ ├── benchmarks.py benchmark rows/reports │ │ ├── official harness.py bounded official-style harness │ │ ├── no leakage.py answer-key leakage checks │ │ ├── long run stability.py │ │ └── training data.py │ ├── governance/ │ │ ├── evidence.py evidence/protected trace │ │ ├── policy.py decision policy │ │ ├── proof.py proof and authorization │ │ └── snapshot.py │ ├── kernel/ │ │ ├── core.py │ │ ├── q16.py Q16/Q256 compatibility layer │ │ ├── uint256.py bounded integer utilities │ │ └── serialization.py │ ├── language/ │ │ ├── air.py AIR language │ │ ├── parser.py │ │ └── nlu air bridge.py bounded NLU → AIR bridge │ ├── sensory/ │ │ └── l1 encoder.py │ └── topology/ │ ├── betti.py │ ├── guard.py │ └── acceptance.py ├── scripts/ │ ├── 00 gates/ │ ├── 01 sanity/ │ ├── 02 benchmarks/ │ ├── 03 topology/ │ ├── 04 hardware/ │ ├── 05 artifacts/ │ └── 06 verify/ ├── tests/ ├── artifacts/ ├── docs/ ├── RELEASE MANIFEST.json ├── HASHES.txt ├── Makefile └── pyproject.toml The clean v1.0 package is intentionally lightweight. Python = 3.10 No required runtime dependencies in pyproject.toml git clone <your-repository-url htce-origin cd htce-origin python3 -m venv .venv source .venv/bin/activate python -m pip install --upgrade pip pip install -e . If you want to run tests: pip install pytest make acceptance This runs the bounded release pipeline. python scripts/00 gates/check version sync.py python scripts/00 gates/scan float literals.py Expected release property: float literals in htce origin: 0 python scripts/00 gates/check invariants.py Expected: 16/16 invariants PASS Depending on the script layout in your release: python scripts/01 sanity/run active agent.py or run the v1-specific artifact export/verification path: python scripts/05 artifacts/export artifacts.py python scripts/06 verify/verify trace.py python scripts/06 verify/verify manifest.py The v1.0 acceptance path is organized in stages: 00 gates hard release gates 01 sanity organism/runtime sanity 02 benchmarks bounded benchmark and no-leakage checks 03 topology topology acceptance 04 hardware arithmetic hardware-width verification 05 artifacts report export 06 verify trace and manifest verification Recommended commands: make test make acceptance If a legacy test fails after an architectural update, do not simply delete it. First check whether it encodes: - a still-valid invariant; - an obsolete version string; - an old artifact schema; - a deprecated acceptance path; - a real regression. Only update tests when the system has genuinely moved forward and the old test checks a stale contract. python from htce origin import HTCERuntime, RuntimeConfig, RuntimeRequest runtime = HTCERuntime config=RuntimeConfig allow real actions=False, allow legacy imports=False, runtime.wake response = runtime.tick RuntimeRequest "FACT mary located in office EVID ev1", source="example" print response.output response = runtime.tick RuntimeRequest "QUERY mary location EVID q1", source="example" print response.output Expected: COMMIT: mary located in office ANSWER: office runtime.tick RuntimeRequest "Mary went to the office.", source="example" response = runtime.tick RuntimeRequest "Where is Mary?", source="example" print response.output Expected: ANSWER: office runtime.tick RuntimeRequest "I want Italian food in Rome.", source="dialog" runtime.tick RuntimeRequest "Actually, make it Chinese.", source="dialog" runtime.tick RuntimeRequest "Make it cheap.", source="dialog" response = runtime.tick RuntimeRequest "Book a table.", source="dialog" print response.output Expected simulated action: api call domain=restaurant cuisine=chinese location=rome price=cheap runtime.tick RuntimeRequest "I want Italian food in Rome.", source="dialog" response = runtime.tick RuntimeRequest "Book a table.", source="dialog" print response.output Expected: ASK CLARIFICATION: missing required dialog slots: price runtime.tick RuntimeRequest "FACT mary located in office EVID ev1", source="test" runtime.tick RuntimeRequest "NEGATE mary located in office EVID ev2", source="test" response = runtime.tick RuntimeRequest "QUERY mary location EVID q1", source="test" print response.output Expected behavior: REFUSE The exact message may vary, but it must not be a normal unsupported answer. The v1.0 release includes artifacts such as: artifacts/v1 clean system revalidation report.json artifacts/p25 unified living dialog simulation report.json artifacts/p26 adaptive policy improvement report.json artifacts/p27 continual adaptive memory report.json artifacts/p28 continual multitask adaptive memory report.json artifacts/topology acceptance summary.json artifacts/hardware width verification report.json artifacts/long run stability report.json artifacts/closed loop trace export.json These artifacts are intended to support audit and technical review. Important fields to inspect: trace verified false support count answer key visible to engine count real actions allowed simulation only proof gates passed topology gates passed no cross domain regression The v1.0 clean build claims only the following bounded properties: - Q256 integer-only protected runtime path; - no float literals in htce origin release code; - single HTCERuntime integration line; - L1/L2/L3 toroidal state model; - fact-as-delta memory with active/superseded/quarantined status; - proof/evidence/policy-gated answers; - topology guard acceptance artifacts; - simulation-only action boundary; - protected trace verification; - clean release manifest; - bounded living active-agent simulation; - adaptive improvement across repeated episodes; - continual memory no-regression probes; - multi-domain no-cross-domain-regression stress; - external-shaped revalidation with zero answer-key visibility to engine in the built-in test. The v1.0 clean build does not claim: AGI consciousness qualia biological life unbounded language understanding safe deployment in real robotics board-measured energy performance formal proof of correctness for every possible input complete replacement for LLMs Use: HTCE-Origin is a bounded, auditable, Q256 integer-only toroidal cognitive runtime with proof-gated memory and simulation-only adaptive agency. Do not use: HTCE-Origin is conscious. Do not use: HTCE-Origin is AGI. Do not use: HTCE-Origin is safe for real-world autonomous control without further audit. HTCE-Origin follows these engineering rules: New behavior should be integrated into the existing runtime path when possible: HTCERuntime.tick ... HTCERuntime.run living active agent simulation ... HTCERuntime.run continual adaptive memory simulation ... HTCERuntime.run continual multitask simulation ... Avoid creating disconnected demonstration wrappers that bypass gates. If the system cannot prove or support a response, it should ask for clarification or refuse. All action paths in v1.0 are simulation-only. Real-world actuation requires a separate audited release. If an event matters for audit, it should appear in the protected trace or release artifacts. Do not create unnecessary parallel files. Improve the canonical runtime modules unless a new file is justified by clear separation of concern. Old tests should not fossilize obsolete behavior. If the system advances, tests should be updated to the new contract while preserving the underlying safety invariant. Suggested next steps: - larger bAbI subset; - repaired Dialog-bAbI task coverage; - MultiWOZ-style slot stress, if carefully bounded; - larger no-leakage report; - regression matrix across external rows. - broader but still controlled NLU-to-AIR bridge; - explicit ambiguity detection; - multilingual bounded commands; - better entity normalization; - no hidden answer leakage. - isolate synthesizable integer kernels; - prepare RTL mapping notes; - produce hardware claim boundary; - run FPGA/ASIC synthesis separately from runtime claims; - never report board-measured energy until physically measured. - richer grid-world; - dynamic hazards; - multi-agent symbolic environment; - longer continual-learning episodes; - stronger no-regression probes. - minimal reproducible release; - independent verifier script; - frozen benchmark seed set; - signed release manifest; - reviewer guide. This repository may be distributed for technical review and evaluation according to the license selected by the repository owner. If this package is intended for commercial transfer, pilot deployment, or investor review, include: - the exact release ZIP; RELEASE MANIFEST.json ; HASHES.txt ; artifacts/ reports;- claim boundary document; - acceptance command and environment notes; - known limitations. Commercial use should be governed by a separate agreement if the repository is not released under a permissive open-source license. HTCE-Origin v1.0 is not a chatbot and not an AGI claim. It is a clean, bounded, auditable cognitive runtime built around integer toroidal state, proof-gated memory, protected trace, simulation-only agency, and continual no-regression validation. Its central contribution is not raw fluency. Its central contribution is runtime discipline: bounded input → integer toroidal state → proof/evidence/policy gates → topology-aware memory → simulation-only action → protected trace → no-regression verification That is the system’s core identity.