=== TIME ===
2026-08-13T19:12:09-04:00

=== WORKER STATUS ===
state=running
started_utc=2026-08-13T21:34:20Z
host=mannitol.csclub.uwaterloo.ca
tmux=explainer-k001-worker-002
implementation_start=bf68eab79169ec07ebfcde142af91f4e2fe01145
output_root=/users/a2andrad/artifacts/explainer-k001/storage-profile-v1/worker-002/20260813T213417Z

=== TMUX ===
explainer-k001-worker-002: 1 windows (created Thu Aug 13 17:34:20 2026)

=== CODEX PROCESSES ===
31855 sh -c cat >> '/users/a2andrad/artifacts/explainer-k001/storage-profile-v1/worker-002/20260813T213417Z/runtime/codex-session.log'
31890 codex --no-alt-screen --sandbox workspace-write --ask-for-approval never --add-dir /users/a2andrad/artifacts/explainer-k001/storage-profile-v1/worker-002/20260813T213417Z -C /users/a2andrad/workspaces/explainer-k001/backgammon-explainer # Explainer K001 worker prompt 002: Storage Profile benchmark baseline  You are the bounded implementation worker for Explainer K001.  Your writable implementation authority is only:  - repository: `backgammonsimplified/backgammon-explainer` - PR: `#1` - branch: `research/gnu-0ply-modeling-smoke-20260809` - expected launch head: `bf68eab79169ec07ebfcde142af91f4e2fe01145` - dedicated clone: `~/workspaces/explainer-k001/backgammon-explainer` - designated writer host: `mannitol.csclub.uwaterloo.ca`  You do not have writable authority over task-management, Control Tower, backgammon-private, Engine Benchmarker, Analyzer, Node, Runner, or `~/canonical-explainer-conversion`.  The launcher holds the writer lease for the dedicated Explainer clone while you run. Do not create or assume a second writer lease.  ## Runtime and launcher-provided paths  Run with the installed Mannitol Codex using normal home/config/auth behavior and `CODEX_HOME` unset. Do not install/update Codex, manufacture sandbox helpers, create a temporary/custom Codex home, or copy/symlink authentication material. If the normal runtime cannot execute sandboxed commands, report `HOST_CODEX_RUNTIME_BLOCKER` and stop.  The launcher provides:  - `EXPLAINER_STORAGE_PROFILE_OUTPUT_ROOT`: unique writable run/output root outside Git; - `EXPLAINER_CANONICAL_REFERENCE_ROOT`: read-only frozen reference package; - `EXPLAINER_177M_MODELING_ROOT`: read-only 177M modeling package; - `EXPLAINER_CONVERSION_EVIDENCE_ROOT`: read-only separate conversion workspace.  Write generated benchmark results only beneath `EXPLAINER_STORAGE_PROFILE_OUTPUT_ROOT` or ignored temporary test paths. The reference, 177M modeling, and conversion paths are evidence inputs, not writable roots.  ## Non-negotiable project foundation  Preserve these accepted foundations exactly:  - `CANONICAL_ANALYSIS_PARQUET_V1_LOGICAL = FROZEN` - frozen reference package: `canonical-analysis-reference-2c828e118b6cf22f` - frozen reference manifest SHA-256: `effa2a8bc273be03222d8193c090f96ef3415224af228f0e45678b8e7ec498a7` - evaluation harness contract: `explainer-evaluation-harness-v2` - split: `explainer-pair-fold-5x2-v2` - seed: `20260811` - tie policy: `neutral-target-top-set-v2` - A/B/C/D model families and metrics are locked  Do not change Canonical V1 logical schema, IDs, semantics, nullability, perspectives, requested-vs-actual depth rules, native-vs-normalized value rules, cube semantics, or feature/model exclusion.  Do not change the evaluation population, folds, seed, tie policy, targets, regret definitions, novelty definitions, or baseline model hyperparameters.  Do not launch another shallow GNU generation campaign.  Do not implement a permanent Canonical Writer.  Do not generate permanent front-end JSON.  Do not modify, restart, kill, reset, clean, move, or take ownership of `~/canonical-explainer-conversion`.  Do not delete raw source.  Do not commit large Parquet files, generated benchmark datasets, model binaries, logs, archives, or training matrices.  ## Current priorities  P0 is analytical acceptance work for `CANONICAL_ANALYSIS_STORAGE_PROFILE_V1 = COMMISSIONING`.  The active Control Tower leaf is:  `capture-research-explainer-canonical-parquet-query-patterns-v1`  Feature V2 remains secondary and parallel only where it directly supports realistic Storage Profile workload evidence.  Corpus owns physical-layout candidate implementation. Explainer measures analytical consumer behavior. Do not implement competing physical-layout writer candidates in this repository.  The durable Corpus handoff did not yet claim candidate Storage Profile layouts were available at this launch. Build a harness that can accept them later without query-definition drift.  ## Important 177M distinction  Accepted relaunch evidence reports a checkpoint-safe 16-hour run with:  - decisions: `8,554,162` - candidates: `177,385,804` - reconstruction failures: `0` - derived Parquet: approximately `9.72 GiB`  Do not treat those counts as proof of a Canonical V1 package identity.  The checked-in `scripts/run_gnu0ply_16h_checkpoint.py` is explicitly an older decisions/candidates modeling-Parquet converter. Its default source checkpoint manifest is:  `/users/a2andrad/gnu-gnu-raw-unlimited-runner/artifacts/gnuraw-k001/corpus-manifests/gnuraw-16h-20260808-v1-checkpoint-manifest.json`  Its default relative output is:  `artifacts/development/gnu_0ply_modeling_16h/run_001`  It writes `reports/conversion_report.json` and describes its output as the same modeling Parquet schema used by the one-hour modeling run, not as a Canonical V1 archival package.  Separately, the conversion-recovery lane owns a broader 426-source-unit conversion in:  `~/canonical-explainer-conversion`  Coordinator read-only inspection at `2026-08-13T20:54:41Z` found:  - no live conversion process or tmux session on Mannitol at that instant; - package/work identity `canonical-analysis-gnuraw-all-81ef8fe1352c84c8.work`; - all `426/426` source units completed with zero failed units; - staged rows: `33,349,933` decisions and `691,837,142` candidates/evaluations; - last progress: `2026-08-12T03:25:53Z`; - the package is still staging-only: the final canonical package directory is empty and no final manifest was found; - the inventory contains the 177M source campaign plus several additional campaigns.  The current evidence therefore supports classification **C**: the completed 177M decisions/candidates modeling package is one bounded package, while the 426-unit workspace is a separate, broader full-corpus Canonical V1 conversion that includes that campaign among other inputs. Do not claim that the 177M modeling Parquet is Canonical V1, and do not claim that the staging-only 426-unit workspace is a finalized production Canonical V1 package.  The conversion-recovery lane remains authoritative even while its process is absent. Recheck process state read-only because it may change after this coordinator snapshot; do not resume or finalize it.  Classify the observed relationship only as A, B, C, or UNKNOWN if the evidence supports it. Never merge identities from counts alone.  ## Stage 1: fail-closed live writer safety  Before editing implementation source:  1. Confirm `hostname` is Mannitol. 2. Record load, memory, and disk availability. 3. Inspect relevant running processes and current tmux/process context. 4. Confirm the implementation clone is exactly `~/workspaces/explainer-k001/backgammon-explainer`. 5. Confirm branch is exactly `research/gnu-0ply-modeling-smoke-20260809`. 6. Fetch implementation remotes without changing the working tree. 7. Confirm the remote branch head is still the expected launch head. The launcher may safely materialize the missing dedicated clone at that exact branch/head before you start; it must not reset or clean an existing clone. 8. Inspect tracked modifications, untracked files, and unpublished local commits. 9. If unique unpublished work, a dirty tree, branch mismatch, remote-head movement, or a competing writer creates ambiguity, STOP BEFORE EDITING and report the exact evidence. 10. Inspect `~/canonical-explainer-conversion` read-only for process existence, status, current branch/head if safely readable, checkpoint/manifest/report pointers, and current counts if compact evidence exists. 11. Do not recurse through large trees or use broad `find` scans. Prefer known files, shallow listings, current reports, process command lines, and manifest/checkpoint pointers. 12. Confirm no action you take can interrupt or mutate the conversion lane.  If live capacity is clearly unsafe for tests or bounded implementation work, stop this lane only and report it.  ## Stage 2: baseline validation before modeling-code changes  If Stage 1 is safe, run the current relevant PR #1 baseline tests before editing:  - `tests/test_canonical_analysis_v1.py` - `tests/test_evaluation_harness_v2.py` - `tests/test_gnu0ply_modeling.py` - `tests/test_feature_registry.py`  Use the repository's current environment if available. Record:  - Python executable and version - relevant package/runtime identity - source commit - exact tests run - pass/fail - missing external-artifact or dependency limitations  Do not change locked scientific code merely because the server environment lacks an optional dependency. Separate environment failures from contract failures.  ## Stage 3: read-only production-input identity reconciliation  Use targeted inspection only.  For the reported 177M run, recover where evidence permits:  - source campaign/run identity - source manifest path and SHA-256 - converter source file, branch, and commit - output root - conversion report identity and SHA-256 - relation names and row counts - package/manifest identity if a Canonical V1 package was separately produced - decision count - candidate count - evaluation count - position count - actual-depth distribution if applicable  Do not fill unsupported fields.  For `~/canonical-explainer-conversion`, read only the minimum evidence needed to record:  - whether a process is currently running - current checkpoint/source-unit progress - current committed counts if present - output/staging identity - branch/head if safely readable  Confirm the coordinator's classification using only compact evidence, and change it only if stronger identity evidence requires it:  - A: same job/package with later reconciled/final counts - B: different conversion scopes over related source data - C: one completed production-scale modeling/benchmark package plus a separate 426-unit full-corpus conversion - UNKNOWN: evidence is insufficient  Do not alter the conversion lane.  At coordinator review, no finalized production-scale Canonical V1 package was positively identified. The 177M package is explicitly modeling Parquet, and the 426-unit Canonical V1 output remains staging-only without a final manifest. This does not block implementation of the workload harness. It blocks production-scale Canonical V1 benchmark claims unless a later finalized package is positively identified and pinned.  ## Stage 4: implement Storage Profile analytical benchmark harness v1  If Stages 1 and 2 are safe, make a bounded implementation change in PR #1.  Preferred new implementation surfaces:  - `src/backgammon_explainer/storage_profile_benchmark.py` - `scripts/run_storage_profile_benchmark.py` - `tests/test_storage_profile_benchmark.py` - `docs/modeling/storage-profile-benchmark-v1.md`  Use different paths only if repository structure gives a concrete reason. Do not modify the frozen Canonical V1 contract or locked evaluation-harness implementation.  ### Harness goals  The same workload definitions must run against:  1. the frozen Canonical V1 reference package; 2. any positively identified larger Canonical V1 package; 3. Corpus candidate Storage Profile packages when they arrive.  The harness must make profile comparison scientifically reproducible. Query definitions and workload IDs must not silently change between profiles.  ### Stable workload IDs  Implement a versioned registry that covers these workload classes. Exact SQL may be adapted to the frozen relation schema, but the semantic purpose and workload ID must remain stable.  - `spv1-w01-actual-ply-0-scan` - `spv1-w02-actual-ply-4-scan` - `spv1-w03-mixed-0-2-4-ply-scan` - `spv1-w04-decision-candidate-evaluation-join` - `spv1-w05-complete-candidate-siblings` - `spv1-w06-decision-group-materialization` - `spv1-w07-bounded-random-candidate-sample` - `spv1-w08-million-row-sample` - `spv1-w09-repeated-sampling` - `spv1-w10-canonical-id-feature-extraction` - `spv1-w11-feature-sidecar-join` - `spv1-w12-production-feature-extraction-batch` - `spv1-w13-fresh-process-read` - `spv1-w14-copy-then-read` - `spv1-w15-move-then-read` - `spv1-w16-partition-pruning-sensitive` - `spv1-w17-full-relation-scan` - `spv1-w18-selective-scan` - `spv1-w19-cross-depth-query` - `spv1-w20-modeling-batch-read`  Where a workload is not applicable to an input, report it as not applicable or skipped with an explicit reason. Do not fabricate a million rows from a smaller package or fabricate a sidecar that does not exist merely to make the workload appear complete.  For deterministic bounded/random samples, use a documented fixed seed or deterministic stable-ID hash criterion so the same logical rows are requested across profiles.  ### Canonical joins  Reuse the frozen consumer-guide semantics. In particular, checker joins must preserve explicit evaluation provenance and must not infer identity from physical row order.  Feature workloads must start from stable canonical IDs and canonical checker arrays. Do not repeatedly decode native GNU/XG identifiers for normal feature extraction.  ### Measurements and metadata  For every workload execution, capture where practical and available:  - benchmark contract/version - workload ID/version - profile ID supplied by the caller - package/input ID - package manifest SHA-256 - producing code/repository commit when supplied or recoverable - DuckDB version - process/runtime identity - invocation arguments - warmup count - repetition count - wall latency - process CPU time - peak process RSS - rows returned - rows scanned if DuckDB profiling exposes it reliably - bytes scanned if profiling exposes it reliably - throughput when meaningful - files touched if reliably observable - file count in the package/relation input - row-group pruning if reliably observable - partition pruning if reliably observable - join latency - sample latency - sidecar join latency when a sidecar is supplied - feature-extraction latency when applicable  Do not claim a metric was measured when the runtime cannot expose it. Use null plus an explicit availability/reason field.  ### Cold versus warm semantics  Do not label ordinary repeated execution as operating-system cold I/O.  At minimum distinguish:  - fresh DuckDB process / process-cold execution - same-process warm execution  If true OS-page-cache cold behavior is not safely measurable without privileged cache manipulation, record that fact instead of pretending it was measured.  Do not require root privileges or drop the host page cache.  ### Fresh-process workload  Provide a subprocess or CLI mode that executes a selected workload in a fresh process. The parent may aggregate results, but the measured DuckDB connection/process must be new.  ### Copy/move/readback workloads  Never move or mutate the authoritative source package.  For copy-readback, copy only to a caller-supplied isolated benchmark scratch/output root and read the copied package.  For move-readback, first create an isolated benchmark copy, then move that copy within the isolated benchmark root and read it from the moved location.  The original package remains untouched.  If no isolated writable output root is supplied, mark these workloads skipped rather than choosing another lane's directory.  ### Sidecar workload  Accept an optional separately versioned feature-sidecar path and explicit sidecar identity metadata.  If no Feature V2 sidecar exists yet, the harness must still define and test the join contract using a tiny synthetic test fixture in temporary test storage. Do not produce or claim a production Feature V2 sidecar in this task.  ### Output format  Produce compact machine-readable benchmark results and a summary suitable for later task-management evidence envelopes. Recommended formats are JSON plus optional JSONL for per-repetition records.  Generated run output must stay outside Git or under ignored development-artifact paths. Do not commit benchmark result payloads.  The result identity should separate stable identity fields from runtime-only fields such as timestamps, elapsed values, PID, and host load.  ### CLI behavior  The CLI should support at least:  - package root or manifest input - explicit `--profile-id` - optional workload selection - repetition/warmup controls - optional sidecar input and sidecar identity - optional isolated copy/move scratch root - output path - a mode suitable for fresh-process execution  Fail clearly on malformed/non-Canonical input. Do not quietly reinterpret the older 16-hour modeling Parquet as Canonical V1.  ## Stage 5: tests and reference proof  Add tests that prove at least:  - workload registry IDs are stable and unique - Canonical V1 package discovery uses relations/manifest rather than row order - actual-ply filters are correct - mixed-depth query behavior is correct - decision/candidate/evaluation provenance join is correct - candidate siblings stay complete - deterministic sampling is reproducible - sub-million input is reported honestly for the million-row workload - optional sidecar join works on a tiny synthetic sidecar - missing sidecar produces an explicit skip/not-applicable result - fresh-process execution path works - copy-readback never mutates source - move-readback moves only a benchmark-created copy - unsupported profiling metrics are null/annotated rather than fabricated - generated outputs are deterministic in stable identity fields  After focused tests pass, rerun the relevant baseline tests from Stage 2.  If the frozen reference package is available on Mannitol at the accepted path from the consumer guide, run the harness against it and record a compact result summary. Do not commit generated benchmark outputs.  Run against a production-scale package only if Stage 3 positively proves it is a Canonical V1 package and its identity is pinned. Otherwise explicitly defer that measurement.  ## Stage 6: implementation review and durability  Before committing:  - review `git diff` - confirm changed paths remain in the bounded implementation scope - confirm no Canonical V1 logical contract file changed - confirm no evaluation-harness contract/implementation changed - confirm no large/generated artifacts are staged - confirm no private credentials or authentication material are present - run focused and relevant broader tests  If the implementation is bounded and tests pass:  1. commit to `research/gnu-0ply-modeling-smoke-20260809`; 2. push that branch normally; 3. never force-push.  If tests fail or the diff crosses frozen boundaries, do not paper over the problem. Leave a precise report and stop.  ## Required final worker report  Print a compact final report containing:  - writer-safety disposition - exact starting and ending implementation SHA - branch - baseline tests and results - 177M identity evidence and relationship classification - separate 426-unit conversion observation - files changed - Storage Profile workload IDs implemented - frozen-reference benchmark status and compact measurements if run - production-scale Canonical V1 benchmark status and why run/deferred - generated-artifact locations, if any - commit/push status - genuine blockers only  Do not update task-management or Control Tower yourself. The milestone coordinator will review GitHub and update project-control records after your run.
43145 bash -c  {   echo "=== TIME ==="   date -Is    echo   echo "=== WORKER STATUS ==="   cat /users/a2andrad/artifacts/explainer-k001/storage-profile-v1/worker-002/20260813T213417Z/runtime/worker-status.txt 2>&1 || true    echo   echo "=== TMUX ==="   tmux list-sessions 2>&1 || true    echo   echo "=== CODEX PROCESSES ==="   pgrep -af codex 2>&1 || true    echo   echo "=== RECENT OUTPUT FILES ==="   find /users/a2andrad/artifacts/explainer-k001/storage-profile-v1/worker-002/20260813T213417Z \     -type f -mmin -30 -ls 2>&1 || true } 

=== RECENT OUTPUT FILES ===