feat(arm-discovery): Aerial+ rule mining → Rust transcode + ruff DTO/SPO/codegen synergy map#436
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…/SPO/codegen synergy map
New standalone zero-dep crate `lance-graph-arm-discovery` (D-ARM-13) — the
Rust transcode of Aerial+ neurosymbolic association-rule mining (Karabulut
2025, arXiv 2504.19354v1), the upstream runtime-data proposer leg of
streaming-arm-nars-discovery-v1. Supersedes the plan §14 deferral
("autoencoder stays in Python") per the user's transcode directive.
Faithful port:
- encode: one-hot FeatureSpec + Dataset + support/confidence counting
- aerial::autoencoder: under-complete denoising AE, per-feature softmax +
cross-entropy, hand-written backprop, seeded SplitMix64 (reproducible)
- aerial::extract: Algorithm 1 reconstruction-probe rule extraction
(mark antecedent, uniform elsewhere, forward, tau_a/tau_c gates), then
support/confidence confirmed on the data
- translator::arm_to_nars: (support, confidence, n) -> NARS (f, c) verbatim
per paper section 2/3.3; (f,c) == TruthValue::new == ruff_spo_triplet::Triple
- ndjson: emits the exact {"s","p","o","f","c"} line the SPO store loader reads
Verified standalone: 35/35 tests pass, clippy -D warnings clean. The
nondeterministic AE is kept out of the deterministic lance-graph compile path
(excluded crate, feature-gated, seeded) and emits CandidateRule *proposals*
gated by the downstream ratification council.
Synergy map (.claude/knowledge/aerial-arm-ruff-spo-codegen-synergies.md):
the Aerial leg is the runtime-data frontend of a three-frontend / one-substrate
/ two-codegen bracket whose substrate (ruff_spo_triplet::Triple) and codegen
legs (ruff_python_codegen || op_emitter.rs) already exist. ruff_python_dto_check
is the static-AST sibling frontend. Key gap surfaced: ruff_spo_triplet::Predicate
is a closed vocabulary with no implication/association predicate, so loading ARM
rules through that ndjson path needs `Implies` added first (D-ARM-SYN-1,
council-gated). D-ARM-SYN-2/3 wire the ModelGraph adapter + ArmDiscovered truth
calibration.
Board: STATUS_BOARD (D-ARM-13 + D-ARM-SYN-1/2/3), EPIPHANIES
(E-DISCOVERY-CODEGEN-BRACKET-1 realised), LATEST_STATE (inventory), AGENT_LOG.
https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
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📝 WalkthroughWalkthroughThis PR lands D-ARM-13: a deterministic integer-only codebook-probe Aerial+ rule discovery backend replacing the prior seeded autoencoder, with NARS truth translation and NDJSON SPO output. Includes council-reviewed crate, synergy documentation identifying predicate-vocabulary integration gaps, and board updates sequencing Jirak floor and contract-homing dependencies. ChangesAerial+ Deterministic Codebook Discovery & Integration
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Poem
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 5
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.claude/board/STATUS_BOARD.md:
- Line 636: Update the status cell for row D-ARM-13 in STATUS_BOARD.md to use a
defined legend taxonomy value (e.g., replace "**Shipped (branch)**" with "In PR"
or "In progress"), and move the branch detail "branch `claude/jolly-cori-clnf9`"
from the status column into the evidence/details column for the
lance-graph-arm-discovery::aerial entry so the board uses a canonical status and
retains the branch information alongside test/clippy evidence.
In @.claude/knowledge/aerial-arm-ruff-spo-codegen-synergies.md:
- Around line 25-38: The fenced code block showing the ASCII diagram (containing
symbols like ruff_python_dto_check, ruff_spo_triplet, op_emitter.rs,
ruff_python_codegen, lance-graph-arm-discovery/Aerial+) is missing a language
tag; update that opening triple-backtick to include a language (e.g., ```text)
so the markdown linter rule MD040 passes and the document in
.claude/knowledge/aerial-arm-ruff-spo-codegen-synergies.md is lint-clean.
In `@crates/lance-graph-arm-discovery/Cargo.toml`:
- Around line 11-13: The comment in the Cargo.toml for the crate
lance-graph-arm-discovery wrongly states it is excluded "exactly like bgz17 /
deepnsm / bgz-tensor" while bgz-tensor is now a workspace member; update the
comment text in Cargo.toml (the introductory comment block) to remove or
rephrase the specific comparison—e.g., say the crate is a standalone,
zero-dependency crate excluded from the workspace (omit the bgz-tensor
reference) or list only currently excluded crates (bgz17, deepnsm) so the
wording is accurate for future maintenance.
In `@crates/lance-graph-arm-discovery/src/aerial/autoencoder.rs`:
- Around line 96-97: The public APIs must reject mismatched inputs/specs at
runtime: change forward to validate input.len() == self.dim and return a Result
(e.g., Result<(Vec<f32>,Vec<f32>), Error>) or otherwise return an explicit error
instead of relying on debug_assert_eq!, and perform this check before any
indexing; likewise, in mean_loss and train validate that data.spec matches the
autoencoder’s stored FeatureSpec/block layout (the same shape used to construct
self.blocks/self.dim) before calling data.spec.encode(row) and applying
self.blocks/softmax/loss, returning an error if they differ; add clear error
messages referencing the expected dim/block layout and the provided spec so
callers can handle mismatches.
In `@crates/lance-graph-arm-discovery/src/aerial/mod.rs`:
- Around line 56-65: The AerialParams default allows hidden_dim that can be >=
the dataset encoded dimension, violating the documented H < D invariant; in the
fit path (the function named fit that constructs the autoencoder/extractor)
validate hidden_dim against the dataset's encoded dimension (from ExtractParams
or the extractor's output dimension) and either reject with a clear error or
clamp it to a value strictly less than D (e.g., D-1) before constructing the
autoencoder; update both places that construct the extractor/autoencoder (where
hidden_dim from AerialParams is used) to perform this check and use the adjusted
value so the model is always under-complete.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (17)
.claude/board/AGENT_LOG.md.claude/board/EPIPHANIES.md.claude/board/LATEST_STATE.md.claude/board/STATUS_BOARD.md.claude/knowledge/aerial-arm-ruff-spo-codegen-synergies.mdCargo.tomlcrates/lance-graph-arm-discovery/Cargo.tomlcrates/lance-graph-arm-discovery/README.mdcrates/lance-graph-arm-discovery/src/aerial/autoencoder.rscrates/lance-graph-arm-discovery/src/aerial/extract.rscrates/lance-graph-arm-discovery/src/aerial/mod.rscrates/lance-graph-arm-discovery/src/aerial/rng.rscrates/lance-graph-arm-discovery/src/encode.rscrates/lance-graph-arm-discovery/src/lib.rscrates/lance-graph-arm-discovery/src/ndjson.rscrates/lance-graph-arm-discovery/src/rule.rscrates/lance-graph-arm-discovery/src/translator.rs
| | D-ARM-10 | `op_emitter::bucket_corpus` ratification filter (`confidence ≥ Ratified`) + 2 tests | lance-graph-ontology::op_emitter | 30 | HIGH | **Queued** | depends on D-ARM-1 | | ||
| | D-ARM-11 | `style_recipe.rs` rule 8 — ArmDiscovered backing adds `DAtom::Compute` weight 2 (provisional) | lance-graph-ontology::style_recipe | 80 | MED | **Queued** | depends on D-ARM-1 | | ||
| | D-ARM-12 | End-to-end pipeline test + bench (synthetic Odoo feed → all 5 stages → council micro-batch) | lance-graph-arm-discovery::tests + benches | 400 | MED | **Queued** | depends on Waves 1-6; informs OQ-ARM-2 + OQ-ARM-7 | | ||
| | D-ARM-13 | **Aerial+ Rust transcode** — denoising autoencoder (softmax/feature + CE, paper §3.2) + Algorithm 1 reconstruction-probe rule extraction (§3.3) + seeded `Rng` + `AerialProposer` impl of `Proposer`. User-directed port that plan §14 had deferred ("autoencoder stays in Python"); supersedes that deferral. | lance-graph-arm-discovery::aerial | ~1.2K | HIGH | **Shipped (branch)** | branch `claude/jolly-cori-clnf9`; standalone zero-dep crate (excluded); 35/35 tests, clippy `-D warnings` clean. Keeps the nondeterministic AE OUT of the deterministic compile path; output is a *proposal* gated by Stage D. | |
There was a problem hiding this comment.
Normalize status value to the legend taxonomy.
**Shipped (branch)** is not a defined status in the legend. Please switch to a defined status (e.g., In progress or In PR) and keep branch details in the evidence column to avoid downstream board-status ambiguity.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In @.claude/board/STATUS_BOARD.md at line 636, Update the status cell for row
D-ARM-13 in STATUS_BOARD.md to use a defined legend taxonomy value (e.g.,
replace "**Shipped (branch)**" with "In PR" or "In progress"), and move the
branch detail "branch `claude/jolly-cori-clnf9`" from the status column into the
evidence/details column for the lance-graph-arm-discovery::aerial entry so the
board uses a canonical status and retains the branch information alongside
test/clippy evidence.
Comment on lines
+96
to
+97
| pub fn forward(&self, input: &[f32]) -> (Vec<f32>, Vec<f32>) { | ||
| debug_assert_eq!(input.len(), self.dim); |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Verify the current public guards in the autoencoder API.
rg -n -C2 'pub fn forward|debug_assert_eq!|pub fn mean_loss|pub fn train' crates/lance-graph-arm-discovery/src/aerial/autoencoder.rsRepository: AdaWorldAPI/lance-graph
Length of output: 809
🏁 Script executed:
#!/bin/bash
set -euo pipefail
FILE="crates/lance-graph-arm-discovery/src/aerial/autoencoder.rs"
# Show forward implementation
sed -n '80,130p' "$FILE" | nl -ba | sed -e 's/^/FWD|/'
# Show mean_loss implementation
sed -n '120,200p' "$FILE" | nl -ba | sed -e 's/^/ML|/'
# Show train signature + body start
sed -n '200,320p' "$FILE" | nl -ba | sed -e 's/^/TR|/'
# Look for any runtime spec/dim/block validation in this file
rg -n "FeatureSpec|data\.spec|spec\.|num_features|block\(|self\.blocks|assert|ensure|debug_assert" "$FILE"Repository: AdaWorldAPI/lance-graph
Length of output: 110
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#!/bin/bash
set -euo pipefail
FILE="crates/lance-graph-arm-discovery/src/aerial/autoencoder.rs"
show_range () {
local start="$1" end="$2" prefix="$3"
awk -v s="$start" -v e="$end" -v p="$prefix" 'NR>=s && NR<=e { printf "%s%4d: %s\n", p, NR, $0 }' "$FILE"
}
show_range 80 130 "FWD|"
show_range 120 200 "ML|"
show_range 180 280 "TR|"
# Search for spec/block/dim validation in this file
rg -n "FeatureSpec|data\.spec|spec\.|num_features|block\(|self\.blocks|assert!|assert_eq!|ensure!|debug_assert" "$FILE" || trueRepository: AdaWorldAPI/lance-graph
Length of output: 11465
Reject mismatched inputs/specs in the public autoencoder public APIs
forward (lines 96-97) only uses debug_assert_eq!, but it then indexes input[i] for i in 0..self.dim; in release, longer inputs get silently truncated and shorter inputs will panic on indexing. mean_loss/train (lines 135-145, 153-165) encode via data.spec.encode(row) and then apply softmax/loss using self.blocks, with no runtime check that data.spec matches the autoencoder’s original FeatureSpec (dim + block layout), so mismatched specs can yield incorrect training/loss even when dim happens to match.
Suggested guardrails
pub fn forward(&self, input: &[f32]) -> (Vec<f32>, Vec<f32>) {
- debug_assert_eq!(input.len(), self.dim);
+ assert_eq!(input.len(), self.dim, "input dim mismatch");
// Encoder: h = tanh(We·x + be)
let mut h = vec![0.0f32; self.hidden];+fn assert_spec_compatible(&self, spec: &FeatureSpec) {
+ assert_eq!(spec.dim(), self.dim, "encoded dim mismatch");
+ let blocks: Vec<(usize, usize)> = (0..spec.num_features()).map(|f| spec.block(f)).collect();
+ assert_eq!(blocks, self.blocks, "feature block layout mismatch");
+}
+
pub fn mean_loss(&self, data: &Dataset) -> f32 {
+ self.assert_spec_compatible(&data.spec);
if data.is_empty() {
return 0.0;
} pub fn train(
&mut self,
data: &Dataset,
epochs: usize,
learning_rate: f32,
noise: f32,
rng: &mut Rng,
) -> f32 {
+ self.assert_spec_compatible(&data.spec);
if data.is_empty() {
return 0.0;
}🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@crates/lance-graph-arm-discovery/src/aerial/autoencoder.rs` around lines 96 -
97, The public APIs must reject mismatched inputs/specs at runtime: change
forward to validate input.len() == self.dim and return a Result (e.g.,
Result<(Vec<f32>,Vec<f32>), Error>) or otherwise return an explicit error
instead of relying on debug_assert_eq!, and perform this check before any
indexing; likewise, in mean_loss and train validate that data.spec matches the
autoencoder’s stored FeatureSpec/block layout (the same shape used to construct
self.blocks/self.dim) before calling data.spec.encode(row) and applying
self.blocks/softmax/loss, returning an error if they differ; add clear error
messages referencing the expected dim/block layout and the provided spec so
callers can handle mismatches.
…evisions Convened a 3-savant brutal review (brutally-honest-tester, iron-rule-savant, dto-soa-savant — the Stage-D ratification ensemble applied to the ARM code). Consolidated verdict: LAND-with-revision (zero P0; code independently re-verified 35/35 + 17/17 no-default-features + clippy -D warnings clean). All converged findings addressed (prose/honesty/tech-debt, no logic change): - "loads through the same loader / byte-compatible" was split-true: lance_graph::parse_triples accepts `implies`, but ruff_spo_triplet::from_ndjson rejects it (closed vocab) until D-ARM-SYN-1. Downgraded to "shape-compatible" with the precise caveat in ndjson/translator/lib/README. - rule::passes doc claimed a Jirak floor that does not exist (D-ARM-7 Queued, `jirak` appears 0x). Made honest; filed ISSUE ARM-JIRAK-FLOOR as a hard prerequisite before wiring to a live SpoStore (D-ARM-5). - contract-homing drift: local CandidateRule (n:u32) disagrees with planned D-ARM-2 (WindowMetadata); "shape identical" promise was already false. Corrected docs; filed TD-ARM-CARRIER-FORK with the pub-use-when-D-ARM-2-lands path (firewall forbids depending on lance-graph, not on zero-dep lance-graph-contract). - "bit-identical weights" -> intra-platform reproducibility footnote. Refuted by the tester: suspected fmt_f32 drift vs serde_json (0 mismatches). Iron-rule confirmed arm_to_nars round-trips into TruthValue::revision (w=m) with no rival kernel; I-SUBSTRATE-MARKOV / I-VSA-IDENTITIES / I-LEGACY-API all yield. Board: ISSUES (ARM-JIRAK-FLOOR), TECH_DEBT (TD-ARM-CARRIER-FORK), AGENT_LOG, reviews/ (council-verdict + iron-rule-savant). https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
…w state - D-ARM-9 (Aerial+ IPC client) → Superseded by D-ARM-13: the native in-process transcode replaces the Python IPC client; the determinism-boundary rationale is met in-process via seed + feature-gate + exclude. - D-ARM-4 (translator) → Partially shipped (branch): arm_to_nars / NarsTruth / CandidateTriple / FeedProjector landed inside D-ARM-13; remaining = real Odoo projector + contract homing. - D-ARM-7 (Jirak) → Queued — HARD PREREQUISITE: ISSUE ARM-JIRAK-FLOOR; must land before D-ARM-5 wires the proposer to a live SpoStore. - D-ARM-2 (Proposer/CandidateRule carrier) → note local mirrors shipped in D-ARM-13; TD-ARM-CARRIER-FORK; field set diverges (n:u32 vs WindowMetadata). https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
…ook-probe (palette256)
The v1 D-ARM-13 transcode reproduced Aerial+ literally — an f32 denoising
autoencoder. That was a substrate regression: this stack addresses by exact
codebook CAM, never float similarity (faiss-homology-cam-pq.md; I-VSA-IDENTITIES).
Aerial+'s reconstruction probe ("mark the antecedent, read off the
high-probability consequents") is mechanically a nearest-neighbour query, which
the palette256 distance table answers exactly and in integers at rho=0.9973 vs
cosine. So the float net was a slow, seed-dependent approximation of a lookup
the substrate already performs.
Changes:
- DELETE aerial/autoencoder.rs + aerial/rng.rs (the f32 net + its seed)
- ADD aerial/codebook.rs: zero-dep CodebookDistance trait + MatrixDistance
reference impl (real impl = bgz17::PaletteDistanceTable / BLASGraph splat
top-k / HDR-popcount, injected consumer-side)
- aerial/extract.rs: codebook top-k within theta + integer data confirmation
- rule.rs: integer evidence counts (cooccur/antecedent_count/window) + ppm
cross-multiply gates (no f32 in the decision path)
- translator.rs: TruthU8 (= CausalEdge64 confidence_u8 + i4 mantissa); f32
NarsTruth kept only as the downstream-contract edge
- encode.rs: integer-only (dropped the one-hot f32 vector, bin(), and the f32
support/confidence helpers)
Verified: 28/28 tests, clippy -D warnings clean, zero f32 in the aerial/
discovery path (audit). Float survives only at the TruthValue/Triple
serialization edge (those downstream contracts are themselves f32).
Structural payoff: float was the only nondeterminism. Removing it makes the
probe bitwise-deterministic, so it joins the deterministic trunk beside
pair-stats (D-ARM-3); the nondeterminism firewall and D-ARM-9 (Python-IPC
isolation) are moot. EPIPHANIES E-ARM-PROBE-IS-CODEBOOK-TOPK.
https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
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⚠️ Outside diff range comments (1)
crates/lance-graph-arm-discovery/src/encode.rs (1)
97-101:⚠️ Potential issue | 🟠 Major | ⚡ Quick winReject rows with category codes outside the declared cardinality.
Dataset::newonly checks row length. If a row containscategory >= spec.cardinality(feature), the dataset is accepted but discovery silently undercounts that feature because no generatedItemcan ever match it. Validate each cell against the schema when constructing the dataset.Suggested fix
pub fn new(spec: FeatureSpec, rows: Vec<Vec<u32>>) -> Self { - for r in &rows { - assert_eq!(r.len(), spec.num_features(), "row arity mismatch"); + for (row_idx, r) in rows.iter().enumerate() { + assert_eq!(r.len(), spec.num_features(), "row arity mismatch"); + for (feature_idx, &category) in r.iter().enumerate() { + assert!( + category < spec.cardinality(feature_idx), + "row {row_idx} feature {feature_idx} category {category} out of range" + ); + } } Self { spec, rows } }🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@crates/lance-graph-arm-discovery/src/encode.rs` around lines 97 - 101, The constructor pub fn new(spec: FeatureSpec, rows: Vec<Vec<u32>>) -> Self currently only checks row arity; update it to also validate each cell's category code against the schema by iterating rows and columns and asserting (or returning an error) that each code < spec.cardinality(feature_index). Reference the constructor new and the method/field spec.cardinality (or equivalent on FeatureSpec) and add a per-cell check that includes feature index, offending code, and cardinality in the assertion/error message so invalid category codes are rejected at dataset construction time.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@crates/lance-graph-arm-discovery/src/aerial/codebook.rs`:
- Around line 60-69: The Item flattening trusts Item.feature and Item.category
and can map into the wrong slot; update fn code(&self, it: Item) to validate
bounds: ensure (it.feature as usize) < self.offsets.len(), compute base =
self.offsets[it.feature as usize], compute next = self.offsets.get(it.feature as
usize + 1).copied().unwrap_or(self.total_slots_or_last_offset) (or use
self.table length divided by self.dim if needed) and ensure (it.category as
usize) < (next - base); if either check fails, panic with a clear message (or
return a Result/Option and propagate) so invalid Item never silently aliases
another feature; then in impl CodebookDistance for MatrixDistance::distance call
code(a)/code(b) only after validation and use checked indexing into self.table
(or keep panicking) to avoid returning a wrong distance.
In `@crates/lance-graph-arm-discovery/src/aerial/extract.rs`:
- Around line 87-94: The code forces at least 1-item antecedents by using
params.max_antecedent.max(1); change this to honor a caller-specified 0: check
params.max_antecedent == 0 up front and return no rules (or otherwise reject the
call) instead of forcing singletons, then set max_ant = params.max_antecedent
(without .max(1)) and proceed with the existing loops over feature_combinations,
item_product and probe that populate rules.
In `@crates/lance-graph-arm-discovery/src/translator.rs`:
- Around line 35-48: The function arm_to_truth_u8 currently allows k == 0 which
makes any cooccur > 0 become dogmatic; add an explicit check at the top of
arm_to_truth_u8 that rejects k == 0 (e.g. assert!(k > 0, "arm_to_truth_u8: k
must be > 0") or otherwise return an error/unknown value), so the subsequent
confidence computation (using m, denom and the confidence variable) never runs
with a degenerate denom; reference the arm_to_truth_u8 function, the k
parameter, and the confidence/denom calculation when adding this guard.
---
Outside diff comments:
In `@crates/lance-graph-arm-discovery/src/encode.rs`:
- Around line 97-101: The constructor pub fn new(spec: FeatureSpec, rows:
Vec<Vec<u32>>) -> Self currently only checks row arity; update it to also
validate each cell's category code against the schema by iterating rows and
columns and asserting (or returning an error) that each code <
spec.cardinality(feature_index). Reference the constructor new and the
method/field spec.cardinality (or equivalent on FeatureSpec) and add a per-cell
check that includes feature index, offending code, and cardinality in the
assertion/error message so invalid category codes are rejected at dataset
construction time.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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Configuration used: defaults
Review profile: CHILL
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Run ID: 94d8b281-49dd-4b1e-be28-332dbfba32fc
📒 Files selected for processing (12)
.claude/board/AGENT_LOG.md.claude/board/EPIPHANIES.md.claude/board/STATUS_BOARD.mdcrates/lance-graph-arm-discovery/Cargo.tomlcrates/lance-graph-arm-discovery/README.mdcrates/lance-graph-arm-discovery/src/aerial/codebook.rscrates/lance-graph-arm-discovery/src/aerial/extract.rscrates/lance-graph-arm-discovery/src/aerial/mod.rscrates/lance-graph-arm-discovery/src/encode.rscrates/lance-graph-arm-discovery/src/lib.rscrates/lance-graph-arm-discovery/src/rule.rscrates/lance-graph-arm-discovery/src/translator.rs
✅ Files skipped from review due to trivial changes (3)
- crates/lance-graph-arm-discovery/README.md
- .claude/board/EPIPHANIES.md
- .claude/board/STATUS_BOARD.md
🚧 Files skipped from review as they are similar to previous changes (1)
- crates/lance-graph-arm-discovery/Cargo.toml
…pcount count loop The data-confirmation count loop (rows satisfying a conjunction of items) is the faiss-homology "SIMD batch-AND over the SoA facet column" workload. count_matching on the AoS Dataset is an O(rows x items) rescan, called once per candidate. - bitset.rs: RowMasks transposes the window once into one u64 bitset per (feature, category) item; every candidate count is then AND + popcount over &[u64]. 1- and 2-item conjunctions (the probe hot path) allocate nothing. - simd.rs: popcount / and_popcount. Scalar u64::count_ones by default (crate stays std-only and independently verifiable); the `ndarray-simd` feature routes through ndarray::simd::U64x8 (from_slice / & / popcnt / to_array) per ndarray-vertical-simd-alien-magic.md — zero raw intrinsics, zero cfg(target_arch) in this crate. - extract.rs: the probe counts via RowMasks instead of rescanning the dataset. Verified: default (scalar, zero-dep) 33/33 + clippy -D warnings clean; --features ndarray-simd 33/33 + clippy clean (ndarray builds as a path dep with default-features=false + std; ndarray-rand is not pulled). target-cpu: the U64x8 path is correct on any target but only emits the real vector kernels (AVX-512 VPOPCNTQ, AMX) under -C target-cpu=native or -C target-cpu=x86-64-v4; otherwise it is ndarray's scalar fused-loop fallback. https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
…g; jc resolves both aerial seams
Architecture synthesis (no new code — the seam already exists). Grounds the
user's direction (wire the 10000^2 Gaussian-splat BLASGraph top-k as the aerial
oracle for OWL/DOLCE+ SPO HHTL class/basin discovery -> deterministic Wikidata
compression, adjacent to the jc EWA-sandwich splat) against real workspace
artifacts.
Finding (E-ARM-JC-RESOLVES-BOTH-SEAMS): aerial's two open seams both resolve to
crates/jc (Jirak-Cartan):
- CodebookDistance oracle <- jc builds + certifies the frozen [u32;dim^2] table
offline: ewa_sandwich{,_3d} (splat Sigma-push-forward for ndarray::hpc::splat3d),
sigma_codebook_probe (the rho=0.9973 source: 256-codebook R^2>=0.99 viability),
pflug (CAM-PQ/HHTL Le-faithful).
- D-ARM-7 Jirak floor <- jc::jirak (weak-dependence Berry-Esseen rate n^(p/2-1)).
Float boundary = CAM-PQ doctrine end-to-end: float lives ONLY in jc's offline
build+certify; it emits a frozen integer artifact; aerial's online path stays
integer. The "deterministically compress Wikidata" claim is float-free at runtime.
No new aerial dependency — the certified table feeds the existing MatrixDistance
/CodebookDistance seam.
- knowledge/splat-codebook-aerial-wikidata-compression.md: the full wiring map
- EPIPHANIES: E-ARM-JC-RESOLVES-BOTH-SEAMS
- STATUS_BOARD: D-ARM-7 engine pointer (jc::jirak), D-ARM-13 -> 33/33 + SIMD
clause, new D-ARM-14 (splat-codebook oracle + Wikidata skeleton discovery)
- aerial/codebook.rs: oracle doc names jc + the offline-float/online-integer boundary
https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
Verified all 11 review comments against current (post de-float + SIMD) code. 5 still valid, 6 outdated/resolved. Fixed the 5, each with a regression test: - aerial/codebook.rs: MatrixDistance::code validates (feature, category) bounds so an invalid Item fails fast instead of aliasing another feature's block and returning a real-but-wrong distance. - aerial/extract.rs: extract_rules honors max_antecedent == 0 (returns no rules) instead of forcing 1-item antecedents via .max(1). - translator.rs: arm_to_truth_u8 asserts k > 0. k=0 made any cooccur>0 quantise to confidence=255 (1.0) — dogmatic truth at the SPO edge. - encode.rs: Dataset::new rejects rows with category >= cardinality (previously accepted, then silently undercounted since no Item could ever match). - knowledge/aerial-arm-ruff-spo-codegen-synergies.md: add `text` lang tag to a fenced block (MD040). Skipped (with reason): autoencoder forward/mean_loss/train guards + mod.rs hidden_dim invariant + Cargo.toml bgz-tensor comment all target code deleted or rewritten by the de-float (8681cdf); STATUS_BOARD "Shipped (branch)" is an established board convention used by every D-ARM row. Verified: 37/37 tests (33 + 4 regression) + clippy -D warnings clean on both default and --features ndarray-simd. https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
AdaWorldAPI
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that referenced
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May 30, 2026
…k (Cognitive-RISC N1) Expose the per-row class/shape discriminator on the SoA view: class_id()/class_id_at() alias the existing entity_type u16 slot (= OGIT EntityTypeId), so the class hook lands with ZERO new column (R1 'one SoA never transformed') and zero new dep. Class machinery (labels/projection/jinja templates) resolves one layer up via lance-graph-ontology, never in the SoA/kv-lance columns. This is the freeze-time N1 hook; aerial+ (#436) is the discovery engine that populates it. Board: EPIPHANIES E-ARIGRAPH-IS-AN-ISLAND (dead-wiring audit, machete-corroborated) + E-AERIAL-IS-THE-DISCOVERY-PROPOSER (synergy synthesis). 485 contract tests green; soa_view.rs rustfmt-clean. https://claude.ai/code/session_01R9AWgFa65uPnLyS2my2d2R
AdaWorldAPI
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May 30, 2026
… + auto-resolve
User instruction: "create the integration plan as a list of possibilities,
then use the council and brutally honest review to recalibrate, then continue
autoattended autonomous decision making and auto resolve."
Composed `post-438-integration-options-v1.md` with 8 options + 6 combinations.
Spawned 4 council reviewers in parallel (Opus, single main-thread turn) with
identical brief but diverse lenses:
R1 (architectural-fit) — B+C conditional on N1 class_id paired pass + u16
R2 (prior-art / drift) — B+H; REJECTS C as re-litigating user-owned forks;
flags AriGraph hot↔cold bridge as the missing
integration target the options doc never named
R3 (integration-coordination) — B+D; REJECTS C — in-flight collision with #439
on lance-graph-contract (31 commits, unstable,
KanbanMove const _ ≤16B size assertion)
R4 (brutal-critic / bias-hunter)— B+G; REJECTS C as ego-shipping; tier-set spec
disagreement = SPEC FREEZE, not Claude-session;
cites session pattern of 3 prior hallucinations
Auto-resolve per options-doc §5:
- B unanimous (4/4) → EXECUTED (2 stale-citation fixes this commit)
- C: 3/4 reject → NOT EXECUTED
- OD-1/2/3 + canonical-spec-self-disagreement → escalated to ISSUES.md as
explicit SPEC-OWNER decisions (R2+R4 unanimous framing)
- R2's AriGraph-bridge finding → captured as EPIPHANY (new, missed by all
prior session work): the discovery_origin byte's natural home is a column
on the AriGraph hot↔cold bridge, not the mailbox-SoA byte
- G (chess bring-up): 2/4 endorse → queued to STATUS_BOARD as D-CHESS-BRINGUP-1
(NOT executed on this branch per R1 "needs its own branch + freeze-decision
authority"); unblocked by #436's Rust Aerial+ (user-flagged 2026-05-30)
- D (help #439): 1/4 → below threshold, not executed
- H (cargo clean, 3.3G): flagged for user, not auto-executed (workflow not
architecture)
Fixed stale citations in own docs:
- discovery-origin-provenance-reconciliation §8: specs are on main now
(via main commits d1635db, 93ac046, a16d0f4, 45276eb), not on a
separate cognitive-risc-core branch as v1 of the doc claimed pre-rebase
- odoo-blueprint-survival-dossier §7 "Concrete next moves": Wave 1 went
D-ARM-13/14 via #436/#438, not D-ARM-1/2 as originally planned
Documentation only. No code or in-flight contract modified. Contract carrier
work (D-ARM-1/D-ARM-2/D-MBX-A6-P3) explicitly held until the spec owner
reconciles the canonical tier-set disagreement and the user picks
proposer-id width (OD-1).
https://claude.ai/code/session_017gZ6sPRXYPj5n7uJ7NBtRv
AdaWorldAPI
pushed a commit
that referenced
this pull request
May 30, 2026
… + auto-resolve
User instruction: "create the integration plan as a list of possibilities,
then use the council and brutally honest review to recalibrate, then continue
autoattended autonomous decision making and auto resolve."
Composed `post-438-integration-options-v1.md` with 8 options + 6 combinations.
Spawned 4 council reviewers in parallel (Opus, single main-thread turn) with
identical brief but diverse lenses:
R1 (architectural-fit) — B+C conditional on N1 class_id paired pass + u16
R2 (prior-art / drift) — B+H; REJECTS C as re-litigating user-owned forks;
flags AriGraph hot↔cold bridge as the missing
integration target the options doc never named
R3 (integration-coordination) — B+D; REJECTS C — in-flight collision with #439
on lance-graph-contract (31 commits, unstable,
KanbanMove const _ ≤16B size assertion)
R4 (brutal-critic / bias-hunter)— B+G; REJECTS C as ego-shipping; tier-set spec
disagreement = SPEC FREEZE, not Claude-session;
cites session pattern of 3 prior hallucinations
Auto-resolve per options-doc §5:
- B unanimous (4/4) → EXECUTED (2 stale-citation fixes this commit)
- C: 3/4 reject → NOT EXECUTED
- OD-1/2/3 + canonical-spec-self-disagreement → escalated to ISSUES.md as
explicit SPEC-OWNER decisions (R2+R4 unanimous framing)
- R2's AriGraph-bridge finding → captured as EPIPHANY (new, missed by all
prior session work): the discovery_origin byte's natural home is a column
on the AriGraph hot↔cold bridge, not the mailbox-SoA byte
- G (chess bring-up): 2/4 endorse → queued to STATUS_BOARD as D-CHESS-BRINGUP-1
(NOT executed on this branch per R1 "needs its own branch + freeze-decision
authority"); unblocked by #436's Rust Aerial+ (user-flagged 2026-05-30)
- D (help #439): 1/4 → below threshold, not executed
- H (cargo clean, 3.3G): flagged for user, not auto-executed (workflow not
architecture)
Fixed stale citations in own docs:
- discovery-origin-provenance-reconciliation §8: specs are on main now
(via main commits d1635db, 93ac046, a16d0f4, 45276eb), not on a
separate cognitive-risc-core branch as v1 of the doc claimed pre-rebase
- odoo-blueprint-survival-dossier §7 "Concrete next moves": Wave 1 went
D-ARM-13/14 via #436/#438, not D-ARM-1/2 as originally planned
Documentation only. No code or in-flight contract modified. Contract carrier
work (D-ARM-1/D-ARM-2/D-MBX-A6-P3) explicitly held until the spec owner
reconciles the canonical tier-set disagreement and the user picks
proposer-id width (OD-1).
https://claude.ai/code/session_017gZ6sPRXYPj5n7uJ7NBtRv
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Summary
Transcodes Aerial+ neurosymbolic association-rule mining (Karabulut, Groth, Degeler — Neurosymbolic Association Rule Mining from Tabular Data, arXiv 2504.19354v1) to Rust as a new standalone, zero-dependency crate
lance-graph-arm-discovery— the upstream runtime-data proposer leg ofstreaming-arm-nars-discovery-v1.md(D-ARM-13). This supersedes the plan §14 deferral ("Aerial+ Rust port — the autoencoder stays in Python") per the explicit transcode directive.It also delivers the requested synergy analysis against the
ruffDTO / SPO / codegen crates.What's in the crate
Faithful, self-contained port (std only — no neural framework, no heavy deps):
encodeFeatureSpec+Dataset+ support/confidence countingaerial::rngaerial::autoencoderaerial::extractτ_a/τ_cgates), confirmed on data (§3.3)aerial(AerialProposer)Proposerimpl:fit(train) +next_batch(mine)translatorarm_to_nars:(support, confidence, n) → NARS (f, c)verbatim per §2/§3.3ndjson{"s","p","o","f","c"}lines = the SPO-store loader contractVerification
Load-bearing tests: the autoencoder learns a cross-feature dependency, Algorithm 1 recovers a planted rule while rejecting an independent feature, mined rules serialise to the SPO ndjson shape end-to-end, and runs are bit-reproducible from a seed. The crate is
excluded from the workspace (standalone pattern, likebgz17/deepnsm) so the giantlance/datafusiondependency tree is not built to verify it.Synergy map (
ruffDTO / SPO / codegen)Full write-up:
.claude/knowledge/aerial-arm-ruff-spo-codegen-synergies.md. The Aerial leg is the runtime-data frontend of a three-frontend / one-substrate / two-codegen bracket whose substrate and codegen legs already exist in therufffork:ruff_spo_triplet::Triple { s, p, o, f, c }mirrorslance_graph::graph::spo::odoo_ontology::OntologyTriplefield-for-field; its ndjson is exactly whatparse_triplesreads. Aerial'sarm_to_nars(f, c)lands on the same NARS truth scale (NarsTruth::expectation==TruthValue::expectation).ruff_python_dto_checkis the static-AST proposer ("Extracted"/Authoritative); Aerial is the runtime-data proposer ("ArmDiscovered"). SameModelGraph/TripleIR, different evidence source — Aerial surfaces co-correlations that exist only in runtime rows.op_emitter.rs(ratified SoA → Rust dispatch) ∥ruff_python_codegen::round_trip(AST → Python source). Same externalise-interpretation thesis, two languages, both downstream of the ratification firewall.Key gap surfaced (actionable):
ruff_spo_triplet::Predicateis a closed vocabulary (from_ndjsonhard-rejects unknown predicates) with no implication/association relation. Loading ARMX → Yrules through that loader requires addingImplies/CoOccursWith— a deliberate ontology change. Filed as follow-ups:Implies/CoOccursWithtoruff_spo_triplet::Predicate(council-gated).CandidateRule → ruff_spo_triplet::ModelGraphadapter.ProvenanceTier::ArmDiscovered(f,c)below theop_emitterratification gate.Determinism boundary (preserved)
Aerial+ is the only nondeterministic node in the bracket. The transcode keeps it standalone, seeded, behind the
aerialfeature, emittingCandidateRuleproposals — never committed triples. Promotion is the downstream council's job (Stage D). Nothing nondeterministic crosses into the deterministic codegen path.Board hygiene (same commit)
STATUS_BOARD(D-ARM-13 + D-ARM-SYN-1/2/3),EPIPHANIES(E-DISCOVERY-CODEGEN-BRACKET-1 realised),LATEST_STATE(contract inventory),AGENT_LOG.https://claude.ai/code/session_012SorR8UbtEvYmbX8cXftj7
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