Execution Bound Artifact Reconstruction Layer

系統如何將 canonical execution trace 投影為可重建、可驗證、不可漂移之 artifact（資料原貌重建物件），並保證其不影響 BNES / PQC / ZK / EVM / Clique / Γ 的核心語義與執行決定性。

23. Execution Bound Artifact Reconstruction Layer（EBARL）

原創者 (Author)：ChenTing (陳霆)

創辦職位 (Title)：Founder, CEO & Chief Technology Officer, BearNetworkChain

學術單位 (Affiliation)：College of Management, Tunghai University

聯絡信箱 (Email)：bnkt@bearnetwork.net

Canonical DOI: doi:10.5281/zenodo.20372986

本層定義：

系統如何將 canonical execution trace 投影為可重建、可驗證、不可漂移之 artifact（資料原貌重建物件），並保證其不影響 BNES / PQC / ZK / EVM / Clique / Γ 的核心語義與執行決定性。

本層不是：

storage consensus layer
execution authority layer
ownership layer
mutable filesystem layer

本層為：

deterministic execution projection layer

23.1 Layer Position（層級定位）

基本定義

EBARL := Execution-Bound Artifact Reconstruction Layer

EBARL 位於：

ExecutionTrace → Projection → Artifact Reconstruction

之間。

EBARL 不參與：

state transition
consensus decision
transaction ordering
proof authority
trust root evaluation
ownership interpretation

23.2 Core Ontology（核心本體）

基本語義

Artifact A := Projection(ExecutionTrace, State, Context)

其中：

ExecutionTrace = canonical execution trace
State = finalized canonical state
Context = deterministic replay context
Artifact = execution-bound reconstruction object

Artifact 本體地位

Artifact ∉ Σ
Artifact ∉ StateRoot
Artifact ∉ ConsensusSpace
Artifact ∉ OwnershipSpace

Artifact 不是：

canonical state
consensus authority
ownership declaration
execution source
legal evidence authority
state mutation origin

Artifact 是：

epistemic reconstruction object

即：

execution world 的可驗證觀測投影。

23.3 Semantic Isolation Rules（語義隔離規則）

絕對禁止語義污染

EBARL MUST NOT:
    modify Σ
    modify EVM output
    modify Clique ordering
    modify PQC validity
    modify ZK verification result
    redefine BNES predicates
    alter state_root semantics
    participate in consensus
    introduce execution randomness
    introduce replay divergence

唯一合法方向

ExecutionTrace → Artifact

禁止：

Artifact → ExecutionTrace authority
Artifact → State mutation
Artifact → Consensus influence
Artifact → BNES override
Artifact → Replay override
Artifact → TrustRoot override

23.4 Artifact Definition（Artifact 定義）

Artifact 為：

A_t := Projection(Trace_t, State_t, Context_t)

其中：

Trace_t = finalized execution trace
State_t = finalized state
Context_t = deterministic replay context

Artifact 類型

Artifact 可包括但不限於：

PNG
JPG
binary payload
telemetry stream
sensor snapshot
scientific observation frame
structured log
compressed runtime output
deterministic AI output snapshot
mission replay package
execution visualization object
machine-state reconstruction object

非法 Artifact 類型

以下不得視為 canonical artifact：

externally mutated payload
unverifiable binary
heuristic-generated reconstruction
probabilistic reconstruction output
runtime-non-deterministic object
AI hallucinated artifact
future-state-derived reconstruction
incomplete replay artifact

23.5 Artifact Reconstruction Rules（Artifact 重建規則）

Reconstruction Definition

Reconstruct(A_t) := Replay(ExecutionTrace_t, Context_t)

Canonical Verification Rule

Verify(A_t) ⇔
    Hash(A_t)
    ==
    Hash(Replay(ExecutionTrace_t, Context_t))

Deterministic Reconstruction Rule

∀ compliant nodes:
    Reconstruct(A_t) MUST produce identical output

Replay Binding Rule

Artifact validity MUST be replay-bound

即：

No replay
→
No canonical artifact validity

23.6 Context Locking Layer（上下文鎖定層）

Artifact reconstruction 必須綁定：

Context_t :=
(
    state_root,
    tx_order,
    execution_policy,
    crypto_policy,
    zk_policy,
    runtime_version,
    replay_environment
)

Context Drift Prohibition

If Context_t differs:
    reconstruction equivalence MUST fail

Canonical Replay Environment Rule

Replay environment MUST be deterministic and version-bound

禁止：

runtime-dependent rendering
heuristic codec substitution
environment-adaptive mutation
AI-assisted artifact guessing

23.7 Temporal Consistency Layer（時間一致性層）

Finalization Lock Rule

Artifact becomes immutable after finalization

Temporal Ordering Rule

Artifact.timestamp ≤ Block.finalization_time

Retroactive Mutation Prohibition

EBARL MUST NOT:
    retroactively mutate artifact
    recompute artifact from future state
    infer missing trace from artifact

23.8 EBARL ↔ BNES / Γ / ZK Relationship Layer

Layer Relationship

BNES → correctness predicates
Γ    → invariant observation
ZK   → execution proof system
EBARL → deterministic reconstruction projection

Dependency DAG

Tx
↓
PQC
↓
Clique
↓
EVM
↓
ExecutionTrace
↓
Witness W
↓
ZK Proof Π
↓
EBARL Projection
↓
Artifact

Forbidden Dependency Direction

EBARL ↛ BNES
EBARL ↛ Γ
EBARL ↛ PQC
EBARL ↛ Clique
EBARL ↛ EVM
EBARL ↛ ZK validity

23.9 Artifact Proof Binding Layer（Artifact 證明綁定層）

基本定義

Π_A := Proof(ArtifactReplayEquivalence)

Artifact Proof Predicate

VALID_ARTIFACT(A_t) ⇔
    Verify(Π_A)
    AND
    Hash(A_t)
        ==
    Hash(Replay(Trace_t))

Witness Binding

W_A := Witness(Artifact Reconstruction Trace)

Binding Constraint

Artifact MUST be derivable from canonical witness path

23.10 AI Reconstruction Isolation Rule（AI 重建隔離規則）

AI 非權威原則

AI-generated reconstruction is NON-CANONICAL
unless replay-verified

AI Reconstruction Constraint

AI MAY assist interpretation
AI MUST NOT define artifact truth

AI Hallucination Isolation

Any artifact not replay-derived
    = INVALID

23.11 Compression & Transmission Layer（壓縮與傳輸層）

Compression Allowance

允許：

deterministic compression
deterministic chunking
deterministic deduplication

Compression Constraint

Compression MUST preserve replay equivalence

Transmission Rule

Artifact transmission MAY be partial
Artifact verification MUST remain complete

23.12 Deep Space / Deep Sea Compatibility Layer

設計目標

EBARL 必須支援：

high-latency environments
disconnected operation
radiation-disturbed environments
bandwidth-constrained environments

Minimal Verification Model

Verify(A_t)
    requires only:
        - canonical execution trace
        - canonical witness
        - canonical proof

Deep-space Replay Rule

Full historical state download is NOT required
if replay proof path is sufficient

23.13 IPFS Semantic Separation Layer（與 IPFS 的語義隔離）

IPFS Model

Content → Hash → Distributed Storage

EBARL Model

Execution → Replay → Artifact Projection

Semantic Difference

System

Semantic Role

IPFS

Content persistence

EBARL

Execution reconstruction

Canonical Principle

EBARL validates reconstructability,
not storage existence.

23.14 Artifact State Separation Principle（Artifact 與 State 隔離原則）

核心原則

Artifact existence
    ≠
State authority

Canonical Rule

State determines execution truth.
Artifact only reflects execution projection.

Ownership Isolation

Artifact storage
    ≠
Artifact ownership

23.15 Red Flag Extension（EBARL Red Flag 擴展）

新增以下 Red Flag：

RF-16 — Artifact Replay Failure

Replay(A_t) ≠ A_t

RF-17 — Reconstruction Divergence

∀ node_i,node_j:
    Reconstruction_i(A_t)
        ≠
    Reconstruction_j(A_t)

RF-18 — Context Drift

Replay(Context_i)
    ≠
Replay(Context_j)

RF-19 — Non-Deterministic Artifact

Artifact output changes
under identical replay conditions

RF-20 — AI Reconstruction Pollution

AI-generated artifact accepted
without replay equivalence proof

23.16 Canonical Closure Principle（規格封閉原則）

EBARL is a pure projection layer that maps execution traces
into verifiable immutable artifacts.

It does not introduce new execution semantics,
does not mutate canonical state,
does not participate in consensus,
and does not redefine BNES correctness predicates.

23.17 Final Canonical Definition（最終定義）

EBARL is a deterministic, replay-bound,
post-execution projection system
that reconstructs immutable artifacts
from canonical execution traces
without introducing new state semantics.

23.18 Extended System Definition（擴展後系統定義）

BearNetworkChain
=
(
    BNES
    + PQC
    + ZK
    + EVM
    + Clique
    + Γ
    + EBARL
)

23.19 Final System Summary（最終系統收斂）

This specification defines a deterministic blockchain execution system
with PQC trust-root authentication,
ZK verifiable computation,
Clique deterministic ordering,
Γ invariant observation,
BNES formal correctness validation,
and EBARL execution-bound artifact reconstruction.

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