The operation layer has exactly two byte-decode surfaces: MaterializedState and OperationKindTag. Operation payloads have no decoder -- OperationKind is encode-only -- so nothing here can yet accept a duplicate TransposeInterval target. When such a decoder lands it inherits the wire table's seq-strictly- increasing rule: reject a duplicate, never normalize it away. No defect in the decoder. It already carries the Phase-1 hardening: a whole-state re-encode-and-compare guard, and with_capacity(n.min(1024)) at every count site, so the unbounded-allocation and soft-DoS classes P1 fixed in core do not apply. 2M adversarial inputs across four seeds, ~2s each, clean. The finding is about the ARCHITECTURE, and it qualifies P1's recorded design note that the guard "is complete-by-construction, it cannot miss a lenient codec". It is complete only for fields the decoder NORMALIZES. The BTreeMaps re-sort and de-duplicate, so a non-canonical encoding of them cannot survive a round trip. But the guard is BLIND to order-preserving Vec fields: a reordered anomalies or pending list re-encodes to exactly the bytes it came from, so the guard sees identity and accepts. Only the per-site windows(2) checks reject them, and the same holds for a conflict record's caused_by / affected_objects, which ConflictRecord::encode_canonical writes verbatim. Measured, not reasoned: removing both per-site Vec order checks leaves a 40K injectivity sweep GREEN. An injectivity fuzzer structurally cannot see this class -- it asserts bytes->value->bytes identity, which is exactly what a missing order check preserves. Those checks were locked by nothing. They are now. (effects is a Vec with no order check, correctly: its canonical order is reduction order, which a decoder cannot recompute. Two orderings are two different states, so injectivity is not at stake.) Delivered: fuzz::run_decode_fuzz over both surfaces, returning a DecodeFuzzCoverage the smoke tests assert on -- a decode fuzzer that never reaches a decoder's accept path proves only the absence of a panic, and mine initially accepted nothing worth speaking of. Plus one deterministic test per layer: an out-of-order objects map (guard only), an out-of-order anomaly list and a reordered pending list (per-site only). Each mutation-verified against the exact check it locks, and the fuzzer confirmed blind to the per-site pair. Corpus depth is now a property rather than luck. A fixed list of envelope-set sizes reduces to states with no conflicts, anomalies, pending, or spellings -- the very branches holding every canonical-order check. Measured: 6 of 12 seeds failed to produce all four. build_decode_corpus draws until covered and asserts. Gate: fmt clean, clippy 0, 30 targets / 1007 passed / 0 failed, docs 0 under -D warnings, conformance 8/8, zero golden churn. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| DECISIONS.md | ||
| README.md | ||
README.md
epiphany-ops
The Epiphany concurrent semantics: the operations through which the score
graph becomes a live model, and the deterministic reduction by which a set of
operations becomes a materialized score state. Implements the normative
requirements of Chapter 6 (Semantic Operations and Concurrent Reduction) of
the core specification (spec/core_spec.pdf). This is Agent C's crate per
spec/QUICKSTART.md, building on Agent A's epiphany-determinism and Agent B's
epiphany-core.
A score's state is defined by the set of operations committed to it. Any materialized graph is a deterministic reduction of that set; caches, snapshots, and partial reductions are acceleration structures, never the source of truth. — Chapter 6, Design Principles
The thesis in one paragraph
The replicated operation set is a grow-only CRDT: replicas accumulate envelopes and converge on the same set. The materialized graph is not a CRDT — it is the deterministic reduction of that set in a single canonical order (causal-first, then the HLC tuple). Any permutation of the same envelopes reduces to byte-identical materialized state. That property is the determinism heart of the architecture, and the reduction fuzzer is its tripwire.
What's here
| Area | Items | Spec |
|---|---|---|
| Stamps | HybridLogicalClock, OperationStamp, the reduction & monotonicity tuples |
Ch. 6 §"Operation Identity and Stamps" |
| Causal context | CausalContext (dotted version vector), covers, the missing-predecessor signal |
Ch. 6 §6.2 |
| Payloads | OperationKind, the discriminator-only OperationKindTag, OperationPayload, the §6.10 representative ops |
Ch. 6 §"Operation Envelopes", §6.10 |
| Envelopes | OperationEnvelope, EnvelopeHash (MUSCENVH), well_formed (incl. stamp.id == id) |
Ch. 6 §6.4 |
| Slots | OperationSlot::{Single, Equivocated}, the order-independent (Pass-10) transitions |
Ch. 6 §6.5 |
| Anomalies | AnomalousReplicaSegment, IntegrityAnomaly/Kind, the HLC-monotonicity detector |
Ch. 6 §6.6; Ch. 5 §"System-Derived Counter Collisions" |
| Effects | OperationEffect, NoOpReason, the typed PreconditionFailureReason, RepairRecord/RepairKind |
Ch. 6 §6.3.2, §6.5 |
| Conflicts | ConflictRecord, ConflictKind, content-derived ConflictId (derive_conflict_id), the registry, resolution |
Ch. 6 §6.4 |
| Transactions / undo | TransactionDescriptor with the causal-prior-descriptor rule, UndoTransactionPayload / UndoPolicy |
Ch. 6 §6.6, §6.8 |
| Operation set | OperationSet: accept pipeline (well-formedness → slot → causal), grow-only |
Ch. 6 §"Envelope Acceptance" |
| Reduction | canonical_reduction_order (single function), MaterializedState, the reduction driver |
Ch. 6 §6.3 |
The determinism this crate enforces
- A single reduction-order function.
canonical_reduction_orderperforms deterministic causal topological ordering, using the intrinsic stamp tuple(physical, logical, replica, counter)only among ready operations. - Order-independent equivocation. A duplicate
OperationIdwith different canonical bytes transitions its slot toEquivocatedregardless of which envelope arrived first (Pass 10). Equivocated slots contribute nothing to reduction; dependents are held pending. - Content-derived facts.
ConflictIdandIntegrityAnomalyIdare derived from content, so two replicas reducing the same set agree on every conflict and anomaly id — the conflict registry and anomaly register are deterministic materialized facts, not local bookkeeping. - Byte-identical materialized state.
MaterializedState::canonical_bytesserializes the effect log, conflict registry, anomaly register, object existence, spellings, and LWW fields in their normative orders. - Real graph materialization.
OperationSet::reduce_onto(&base_score)returnsGraphMaterialization { state, score }. The graph is mutated in the same canonical order and compares by canonical event identity, independent of arena storage order.
Hand-off gates
Run the gate harnesses (QUICKSTART, Agent C):
cargo test -p epiphany-ops
cargo run --release -p epiphany-ops --example fuzz_reduction # 10k iters, seed 0
cargo run --release -p epiphany-ops --example fuzz_reduction 100000 7 # soak, seed 7
- Reduction determinism — every randomized envelope set reduces to byte-identical materialized state under any acceptance order (v0 acceptance criteria 1 and 5).
- Equivocation order-independence — every duplicate-id-with-different-bytes scenario equivocates regardless of arrival order (v0 acceptance criterion 3).
The integration tests (tests/concurrent_reduction.rs) exercise these plus
transaction atomicity, descriptor precedence, anomaly exclusion, and forward
undo through the public API.
Scope and decisions
Chapter 6 specifies the framework and a representative selection of
operations; the full ~60–80-primitive catalog is an explicit open question
(§6.11) deferred to the Operation Catalog companion. This crate implements the
framework in full and the representative operations, which is sufficient to
exercise every reduction discipline. The representative operations can also
reduce onto an epiphany_core::Score: insert/delete, voice promotion, supported
cross-cutting structures, system breaks, migration checks, transaction
rollback, and undo mutate the real graph while preserving Agent B's invariants.
reduce() remains the base-free CRDT/bookkeeping API; reduce_onto() is the
graph-aware editing path. See DECISIONS.md for remaining payload boundaries.
Per QUICKSTART "Don't do these": undo is the spec's forward compensating
operation, never inverse-based; unsafe is forbidden; everything is sync.