> For the complete documentation index, see [llms.txt](https://docs.bearnetwork.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bearnetwork.net/execution-bound-artifact-reconstruction-layer.md). # Execution Bound Artifact Reconstruction Layer ## 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)**： **Canonical DOI**: [doi:10.5281/zenodo.20372986](https://doi.org/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. ``` --- # Agent Instructions This documentation is published with GitBook. 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