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Status Matrix

Every row names the command that produces its evidence. A row whose command does not run in .github/workflows/ci.yml is not Active, however many tests its file contains.

Run the whole ledger:

cargo test --workspace --exclude aether-kernel

Active

Surface Evidence Command
Lexer tokens for current syntax 4 tests in lexer.rs cargo test -p aether-lang
Parser for statements and operators 7 tests in parser.rs cargo test -p aether-lang
Interpreter assignments, loops, functions 11 tests in interpreter.rs cargo test -p aether-lang
Numeric-list manifold embedding manifold_embed_uses_user_numeric_list cargo test -p aether-lang
topology.ph and topology.betti topology_betti_uses_persistent_homology_engine cargo test -p aether-lang
Bounded persistent homology H0/H1/H2 9 tests in persistence.rs cargo test -p aether-core --lib persistence
Lazy witness mode witness_mode_uses_landmarks_without_rejecting_full_signal_size cargo test -p aether-core --lib persistence
Persistence invariants 12 tests in tests/persistence_invariants.rs cargo invariants
Block metadata and compression selection 4 tests in aether.rs cargo test -p aether-core
Drift detector aether.rs test cargo test -p aether-core
Sparse graph and pipeline 7 tests in manifold.rs cargo test -p aether-core
Geometric governor 5 tests in governor.rs cargo test -p aether-core
CLI parse-error formatting aether-cli test cargo test -p aether-cli
no_std core on a real embedded target Builds for thumbv7m-none-eabi cargo embedded
Kernel compiles for bare metal Builds for x86_64-unknown-none cargo kernel
Diagram metrics (bottleneck, p-Wasserstein) 17 tests in tests/diagram_distance.rs cargo test -p aether-core --test diagram_distance
Vectorizations (landscapes, images, entropy) same suite cargo test -p aether-core --test diagram_distance
Attention correctness contracts 29 tests in tests/attention_contracts.rs cargo test -p aether-core --test attention_contracts
Topology-derived scheduled attention 16 tests in tests/scheduled_attention.rs cargo test -p aether-core --test scheduled_attention
Scale past 32 points 7 tests in tests/persistence_scale.rs cargo test -p aether-core --test persistence_scale --release
Gauss linking number (certified rounding, writhe, knot determinant) 18 tests in tests/linking.rs cargo test -p aether-core --test linking
Rounding certificates (top-k, argmin, threshold) 17 tests in tests/certify.rs cargo test -p aether-core --test certify
Segment arrangement (pieces, faces, Euler characteristic) 18 tests in tests/arrangement.rs cargo test -p aether-core --test arrangement
Resolvent operator (softmax, kernel and path-product corners) 17 tests in tests/resolvent.rs cargo test -p aether-core --test resolvent
Orbit-partition bounds (error, recovery, precision, recall) 15 tests in tests/orbit.rs cargo test -p aether-core --test orbit
Monodromy deciders (collision, symmetry, PH dimension, Lyapunov) 18 tests in tests/monodromy.rs cargo test -p aether-core --test monodromy
Cell tracking (gated assignment, division circulation) 15 tests in tests/track.rs cargo test -p aether-core --test track
Coupling operator (fixed point, rollout bound, islands) 18 tests in tests/coupling.rs cargo test -p aether-core --test coupling
Segment witnesses (vllm#47942 top-k policy) 15 tests in tests/kvwitness.rs cargo test -p aether-core --test kvwitness
Runtime planner (arena offsets, transitive reduction, islands) 15 tests in tests/planner.rs cargo test -p aether-core --test planner

What the invariant suite asserts

Each row is a theorem stated as an executable assertion. Theory →

Property Assertion Constant
Permutation invariance Shuffled rows give an identical diagram tolerance 1e-9
Isometry invariance Rotation + translation move the diagram by 0 tolerance 1e-9
Scale equivariance Scaling by c scales all births/deaths by c c ∈
Stability (Cohen-Steiner–Edelsbrunner–Harer) ‖perturbation‖ ≤ ε ⇒ bottleneck ≤ 2ε 2ε, the Rips constant
Circle ground truth Exactly one long H₁ bar, dying at 2r·sin(π·⌈n/3⌉/n) — the exact regular-polygon chord, which equals √3·r when 3 divides n and tends to it otherwise exact to 1e-12 for n ∈
Cluster ground truth k separated clusters give β₀ = k k = 3, gap 4.0
Negative control A Gaussian blob yields zero long H₁ bars 4 seeds
Elder rule H₀ deaths equal an independent union-find MST exact
∂∘∂ = 0 over 𝔽₂ Every simplex in 5 complexes exact
Filtration monotonicity Every face present, and preceding its coface exact
Injected defect Invariant tests catching it (of 11) Pre-existing example tests (of 6)
Dropped edge in the triangle filtration 4 0
Hardcoded +0.001 absolute epsilon 4 0
Reduction stops after one column operation 7 1
  • Bottleneck: exact (binary search over costs, Kuhn matching, diagonal projection).
  • Essential-class counts must match exactly.

What the diagram suite asserts

tests/diagram_distance.rs, 17 tests over aether_core::diagram.

Property Assertion
Metric axioms d(a,a) = 0, symmetry, triangle inequality
Hand-computed pairing Two bars at L∞ distance 0.2 give exactly 0.2
Diagonal projection An unmatched bar of persistence 0.4 costs 0.2
Bottleneck vs Wasserstein Two bars displaced 0.2 each: bottleneck 0.2, 1-Wasserstein 0.4
Ordering W_p ≥ bottleneck for p ∈
Stability on real diagrams Library metric reproduces the 2ε bound end to end
Landscape tent shape Bar [0,2] gives samples 0, 0.5, 1, 0.5, 0
Landscape level ordering λ₁ ≥ λ₂ ≥ … pointwise, on crossing bars
Landscape k-th largest λ₁(1.0) = 0.6 from the later bar, λ₂(1.0) = 0.2 from the earlier
Landscape stability sup-norm ≤ bottleneck (1-Lipschitz)
Image weighting A long bar deposits > 5x the mass of a near-diagonal one
Image translation equivariance Shifting births and the window gives an identical raster
Kernel width σ = 0.05 concentrates > 3x more than σ = 0.6

Mutation-tested, five injected defects:

Injected defect Caught by
Landscape skips the per-sample descending sort 2 of 17
Image drops the linear persistence weight 1 of 17
Wasserstein returns the max instead of the sum 1 of 17
Image hardcodes the Gaussian width, ignoring σ 1 of 17
Bottleneck forbids diagonal projection (not run — the ∞ costs make the matching search diverge)

The sort and σ mutants first survived; both tests were rewritten until they died. Theory →

What the attention suite asserts

tests/attention_contracts.rs, 29 tests over aether_core::attention, ordered by bug caught per line of test.

Contract Assertion
Selection cost Dot products per row measured against dense; oracle priced at full dense, random at 0
Plan/cost agreement routing_plan.cost_ratio equals the selector's measured cost to 1e-12, over 6 key distributions
Routing decision worth_routing agrees with the measured cost against the threshold on 27 cases, and is not constant
Adaptive bound Never exceeds dense cost on any key distribution; declined routing still recovers 1.000 of mass
Barcode separation gap_ratio structured-min 2.70 > chained-max 1.04, no overlap
Cluster/H0 agreement Single-linkage merge heights equal the engine's H0 deaths to 1e-12
Per-key rescale invariance Multiplying individual keys by gains in [1, 7] leaves cluster assignment identical
Dense parity Full mask reproduces dense SDPA bitwise, over 5 shapes
Convex combination Every output coordinate lies inside the value range
Closed form Zero queries give exactly the mean of v
Mask fidelity Perturbing a masked-out value row leaves the output bitwise identical
Pattern equality Realized pattern equals requested, element-wise, for all 5 selectors
Budget No row exceeds its budget
Causality Perturb position j; every output at i < j is bitwise unchanged
Causal selection No selector picks a future key
All-masked row Returns zeros, not NaN, and does not contaminate other rows
Overflow Logits scaled 400x stay finite and saturate onto a single value row
Determinism 5 repeated runs bitwise identical, selector included
Shape edges seq ∈ {1, 7, 8, 9, 17} × head_dim ∈ {1, 3, 6, 8}
Scale equivariance Scaling q and k by c ∈ {0.01, 0.5, 2, 100} gives an identical mask
Oracle bound No same-budget selector recovers more mass than oracle top-k
Fair ablation Every selector spends the same mean budget before mass is compared

No gradient check here: aether_core::attention has no backward pass. aether_core::scheduled::scheduled_attention_backward has one, finite-difference gradchecked in tests/attention_backward.rs.

The routed selector — the fix, and what it actually costs

Selector::TopologicalRouted: H0 clustering of unit-normalised keys picks candidates, the exact dot product ranks them. Theory →

key-norm spread nearest-neighbour routed
0.0 +0.884 +0.898
2.0 +0.202 +0.885
4.0 −0.109 +0.874
8.0 −0.285 +0.866

Routed stays flat where nearest-neighbour goes negative.

Placement without cost is not a result. Dot products per row vs dense, 64 keys, budget 8:

cargo run -p aether-core --example routing_cost --release
key distribution H0 component sizes cost vs dense placement
uniform random [61, 1, 1, 1] 0.999 +0.942
4 real clusters [16, 16, 16, 16] 0.449 +0.990
8 real clusters [8, 8, 8, 8] 0.528 +0.995
16 real clusters [4, 4, 4, 4] 0.733 +0.989
  • Uniform keys: router examines every key; the +0.94 placement is worth nothing.
  • Structured keys: +0.92 to +0.99 of oracle at 0.449x dense, holding at key-norm spread 8.
  • Claim: a sparsity win exactly when keys have H0 structure, none otherwise — routing_is_sparse_only_when_the_keys_have_h0_structure.

Deciding whether to route, at runtime

routing_plan(k, seq, head_dim, clusters, budget, causal) clusters once per key tensor and reports the cost before any query runs. Theory →

field meaning
cost_ratio dot products per row as a fraction of dense; asserted to equal what the selector actually spends, to 1e-12
largest_cluster_share near 1 means chaining
gap_ratio from the H0 barcode alone: first merge height above the cut ÷ last below it
worth_routing cost_ratio < 0.6

The barcode alone separates the regimes (6 trials each, seq 48):

key distribution gap_ratio
6 real clusters min 2.70
uniform random max 1.04

No overlap.

Selector::Adaptive { budget, clusters } acts on the plan:

key distribution decision cost vs dense quality
structured route 0.449 placement +0.980
unstructured decline 1.000 recovers 1.000 of attention mass
  • Fallback is dense: never worse than dense in cost or quality. A budget-6 window fallback scored +0.014. Local is opt-in.
  • Unstructured is scored as recovered mass, not placement (placement vs dense once read +7.6).

The nearest-neighbour ablation — negative

Same-budget oracle top-k ablation. Seq 32, head_dim 8, budget 6, uniform random q/k:

cargo test -p aether-core --test attention_contracts -- --nocapture
seed random topological oracle placement
67 0.4875 0.5789 0.5879 +0.910
71 0.4813 0.5648 0.5743 +0.898
73 0.4882 0.5619 0.5742 +0.857
79 0.4947 0.5795 0.5850 +0.939

That placement is largely tautological and must not be quoted. Vary key norms and it decouples (8 trials each). Theory →

key-norm spread random topological oracle placement
0.0 0.4902 0.5667 0.5769 +0.884
0.5 0.4901 0.5705 0.6002 +0.732
1.0 0.4899 0.5613 0.6242 +0.533
2.0 0.4892 0.5265 0.6723 +0.202
4.0 0.4873 0.4577 0.7616 −0.109
8.0 0.4848 0.3725 0.8841 −0.285
  • At high spread the selector is worse than uniform random. Pinned by the_topological_advantage_collapses_when_key_norms_vary.
  • First run: −3.6 to −4.2, from an absolute epsilon 0.6 vs median distance 2.4 (1.0 keys/row vs 5.5). Radius is now relative; equal mean budget is asserted.

Scheduled attention — the Rust port of triton-lang/kernels#22

aether_core::scheduled ports triton-lang/kernels#22 from CUDA to anywhere aether-core runs, including no_std. Theory →

Half Nature Checked against
CSR block schedule combinatorial exact set equality; the lower-triangular CSR the Python builder emits, [0, 1, 3, 6, 10] / [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] for 4 blocks
Kernel numeric dense masked attention, to 1e-12

Schedule sources, all clamped causally:

  • sink blocks;
  • a local window, which always contains the query block, so no row is empty;
  • top-k 0D-persistence salient blocks.
Source Setting Block reduction
This port (measured) 16 blocks, local_radius=1, sink=1, topk=2 56 / 136, 58.8%
Triton PR (external, RTX 4060) seq 1024 56.6%
Triton PR (external, RTX 4060) seq 4096 80.9%
Test Asserts
block_salience_is_the_elder_rule_over_centroids Every non-zero salience equals an H0 death from this crate's engine; exactly one block scores 0
the_schedule_depends_on_block_order Per-block salience is not permutation-equivariant (ties break on index); the multiset is invariant

Partial Or Gated

Surface Gate
Titan VM language parity VM tests per construct
Full static type checking Static checker and diagnostics
Complete class/object semantics Interpreter tests and docs
Render as a user-facing graphics command CLI artifact or exported file test
Seal.train semantic contract Interpreter test and training artifact
ML model quality Deterministic datasets and baseline metrics
Cohomology, Mapper, multiparameter persistence Not implemented.
Sparse-attention speedup No attention kernel runs on a GPU (aether-gpu exists but nothing calls it), so there is nothing to measure a speedup against. aether_core::attention is a CPU reference for correctness and ablation only.
Attention backward pass Not implemented for aether_core::attention. The scheduled port's backward exists and is gradchecked (tests/attention_backward.rs).
Scheduled-attention wall-clock speedup The Triton original measured 1.04x-3.48x sparse-vs-dense-CSR on an RTX 4060. This port is a scalar CPU kernel with no SIMD, no threading and no GPU; it reproduces the answer and the block reduction, not the timing.
Batched / multi-head scheduling The Triton kernel shares one CSR schedule across batch and head lanes. This port handles a single [seq, head_dim] lane; batching is a loop the caller writes.
Topological routing speedup in wall-clock Cost is counted in dot products, not seconds. A wall-clock claim needs a GPU path wired into routing, which does not exist.
Topological routing on real activations Measured only on synthetic keys. Real attention key distributions are heavy-tailed and may have different H0 structure.
Segment-witness quality on a model aether_core::kvwitness ports the policy of vllm-project/vllm#47942, which ran no model-level evaluation, and this port measures none. segment_coverage and attention_mass_recall exist so that an experiment can. Segment Witnesses →
Topological nearest-neighbour key selection as an attention-mass proxy Holds only for roughly homogeneous key norms; negative at high spread (see the ablation above). Needs either key normalisation or a dot-product ranking over a topology-derived candidate set, plus a re-run of the ablation.
External TDA parity Bottleneck ≈ 0 against a pinned ripser/gudhi on shared fixtures. The invariant suite above is not parity: a self-consistently wrong implementation can satisfy every internal property.
Sparse scheduler 4 tests exist in scheduler.rs, but aether-kernel is a no_std binary with no test harness, so none of them execute in CI or locally. Needs a host-testable extraction or a QEMU harness.
Bare-metal boot The kernel compiles for x86_64-unknown-none (Active, above). Booting it is not tested: needs QEMU boot logs and a hardware matrix.
Security detection claim Threat model, corpus, metrics
GPU acceleration A separate aether-gpu crate (wgpu compute backend, hardware-gated tests) exists, but nothing in aether-core or aether-lang calls it. The old wgpu/pollster/bytemuck entries in aether-lang were deleted.

Measured scale

Single core, Windows 11. The point cap is a time budget, not a correctness limit.

cargo run -p aether-core --example scale_probe --release
dim n pairs seconds
0 200 200 0.049
0 1000 1000 5.781
0 4000 4000 335.049
1 60 1771 0.117
1 120 7141 2.202
1 200 19901 20.728
1 300 44851 131.343
2 30 4090 0.100
2 50 19650 1.859
2 70 54810 15.338

tests/persistence_scale.rs (release): 29.07 s → 1.10 s, 26x, after indexing the face lookup. Theory →

Defaults now: h2_default 48 points, h1_dense 128, h0_only 512.

Removed From Active Claims

  • Unverified speedup factors.
  • Placeholder benchmark rows.
  • Broad "verified full trust chain" language for this repository.
  • Production security guarantees.
  • Hardware acceleration claims.
  • "Current World's Fastest Agentic AI Language" — was the published PyPI description in pyproject.toml. No benchmark in this repository supports it, and it contradicts the Evidence Policy in README.md.

Known-broken, now fixed

Recorded so the ledger shows what the absence of a working CI had hidden:

Was Now
CI triggered on main/develop; this repo's branch is master, so no CI run had ever executed Triggers on master
aether-kernel did not compile: missing alloc::vec::Vec and alloc::string::ToString imports under no_std, multiboot2::load removed in 0.24, framebuffer_tag() return type changed Compiles for x86_64-unknown-none
BootInfo::config_root returned a pointer to the RSDP signature string, not the ACPI root table address Returns XSDT (ACPI 2.0+) or RSDT address
Dockerfile copied aegis-core/, aegis-lang/, aegis-kernel/ from the repo root; the crates live under crates/ Copies crates/, builds aether-cli
.dockerignore excluded Cargo.lock, so images could not build from the locked dependency set Cargo.lock retained
cargo kernel and cargo lang aliases named crates that do not exist Renamed to the real crates
cargo check -p aether-core --no-default-features (in README.md) fails: no_std needs alloc and a bare-metal target cargo embedded
aether_core::os (304 lines) had zero callers and two traits with zero implementors Deleted