docs(autotrain): continuous-openui-scheduled-2805 cycles 1-150 closeout (BLOCKED: 3x identical promote formal-preflight harness_failure) - #1527
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📝 WalkthroughWalkthroughAdded 2026-08-09 continuous OpenUI screening fixtures for cycles c1–c34, campaign checkpoint notes, model-card records, and v3 history entries documenting no behavior changes. ChangesContinuous OpenUI screening records
Estimated code review effort: 2 (Simple) | ~10 minutes Possibly related PRs
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.json`:
- Line 44: Add parameter-efficiency evidence to the result represented by the
eg_params_block entry: include trainable-parameter counts, size-matched arm
metadata, and EG_params charge, or reference the locked campaign manifest
containing them. If capacity was unchanged, replace or remove
capacity_increased_without_parameter_efficiency_evidence so the gate decision
accurately reflects the campaign.
In
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.md`:
- Around line 12-13: Update every listed cycle record to report control and
candidate trainable-parameter counts alongside the existing quality and latency
metrics, and include the corresponding EG_params result. Apply these
machine-readable fields to
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json:4-26,
c18-results.json:4-26, c30-results.json:4-26, and c31-results.json:4-26; mirror
the evidence in c17-results.md:12-13, c18-results.md:12-13,
c30-results.md:12-13, and c31-results.md:12-13. Update c16-results.md:12-13 with
both counts and EG_params, while c29-results.md:12-13 records available control
parameters and explicitly marks candidate parameters unavailable.
In
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json`:
- Around line 1-3: Regenerate version stamps for all affected result
payloads—docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json
(lines 1-3),
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json
(lines 1-3),
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json
(lines 1-3), and
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json
(lines 1-3)—using the repository versioning helpers and component versions from
src/slm_training/resources/versions.json. Ensure each includes stamp_schema
"version_stamp/v1" and generated version_stamp data, without hand-written
values, then run python -m scripts.verify_version_stamps --check.
In
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.json`:
- Around line 28-41: Update the c33 retry documentation in the JSON results and
mirrored Markdown to include a canonical predecessor reference, such as retry_of
pointing to the c32 campaign or a frozen-arm identity. Ensure the reference
clearly links the c32 failure to the c33 replay while preserving the existing
c33 measurement data.
In
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.json`:
- Around line 28-40: Update the record identified by loop_id
continuous-openui-scheduled-2805 so fixture_insufficient_n on both arms
overrides the raw primary_metric_win classification: set positive to false while
retaining the existing win reason, then regenerate the corresponding markdown
output so the screened fixture result is treated as non-positive and not as a
stack-layer gate.
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📒 Files selected for processing (63)
README.mddocs/MODEL_CARD.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c10-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c10-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c11-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c11-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c12-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c12-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c13-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c13-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c14-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c14-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c15-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c15-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c19-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c19-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c20-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c20-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c21-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c21-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c22-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c22-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c23-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c23-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c24-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c24-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c25-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c25-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c26-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c26-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c27-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c27-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c28-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c28-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c29-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c29-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c32-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c32-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c5-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c5-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c6-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c6-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c7-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c7-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c8-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c8-results.mddocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c9-results.jsondocs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c9-results.mdsrc/slm_training/resources/versions.json
| "quality_held:parse=1.0 mpr=0.3333333333333333", | ||
| "primary_metric_null_or_worse:smoke.structural_similarity:control=0.17416666666666666 candidate=0.13526666666666667 improvement=-0.03889999999999999", | ||
| "fixture_insufficient_n_alone", | ||
| "eg_params_block:capacity growth blocked for climb/promotion: capacity_increased_without_parameter_efficiency_evidence" |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟠 Major | 🏗️ Heavy lift
Add parameter-efficiency evidence for the eg_params_block.
Line 44 records capacity_increased_without_parameter_efficiency_evidence, but this result contains no trainable-parameter counts, size-matched arm metadata, or EG_params charge. Add those values or reference the locked campaign manifest. If capacity did not change, remove or correct this reason.
Without this evidence, the gate decision cannot be audited or compared across arms.
As per coding guidelines, model growth must report trainable parameters beside quality metrics, size-match arms, and charge growth with EG_params.
🤖 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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.json`
at line 44, Add parameter-efficiency evidence to the result represented by the
eg_params_block entry: include trainable-parameter counts, size-matched arm
metadata, and EG_params charge, or reference the locked campaign manifest
containing them. If capacity was unchanged, replace or remove
capacity_increased_without_parameter_efficiency_evidence so the gate decision
accurately reflects the campaign.
Source: Coding guidelines
Comment on lines
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| - control_metrics: `{'latency_ms_p50': 3801.19, 'parse_rate': 1.0, 'meaningful_program_rate': 0.3333333333333333, 'structural_similarity': 0.17416666666666666, 'binder_reference_f1': 0.6333333333333333, 'smoke.latency_ms_p50': 3801.19, 'smoke.parse_rate': 1.0, 'smoke.meaningful_program_rate': 0.3333333333333333, 'smoke.structural_similarity': 0.17416666666666666, 'smoke.binder_reference_f1': 0.6333333333333333}` | ||
| - candidate_metrics: `{'latency_ms_p50': 3595.07, 'parse_rate': 1.0, 'meaningful_program_rate': 0.3333333333333333, 'structural_similarity': 0.13526666666666667, 'binder_reference_f1': 0.6333333333333333, 'smoke.latency_ms_p50': 3595.07, 'smoke.parse_rate': 1.0, 'smoke.meaningful_program_rate': 0.3333333333333333, 'smoke.structural_similarity': 0.13526666666666667, 'smoke.binder_reference_f1': 0.6333333333333333}` |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
Add parameter and arm-size evidence to every cycle record.
The records report quality and latency metrics without control or candidate trainable-parameter counts. Reviewers cannot verify arm-size matching or evaluate the stated EG_params decisions.
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.md#L12-L13: Add control and candidate parameter counts and theEG_paramsresult.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json#L4-L26: Add the same machine-readable fields.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.md#L12-L13: Mirror the JSON parameter evidence.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json#L4-L26: Add the same machine-readable fields.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.md#L12-L13: Mirror the JSON parameter evidence.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c29-results.md#L12-L13: Record available control parameters and mark unavailable candidate parameters explicitly.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json#L4-L26: Add the same machine-readable fields.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.md#L12-L13: Mirror the JSON parameter evidence.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json#L4-L26: Add the same machine-readable fields.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.md#L12-L13: Mirror the JSON parameter evidence.
As per coding guidelines, “report trainable parameters beside quality metrics, size-match arms, and charge growth with EG_params.”
📍 Affects 10 files
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.md#L12-L13(this comment)docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json#L4-L26docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.md#L12-L13docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json#L4-L26docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.md#L12-L13docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c29-results.md#L12-L13docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json#L4-L26docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.md#L12-L13docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json#L4-L26docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.md#L12-L13
🤖 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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c16-results.md`
around lines 12 - 13, Update every listed cycle record to report control and
candidate trainable-parameter counts alongside the existing quality and latency
metrics, and include the corresponding EG_params result. Apply these
machine-readable fields to
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json:4-26,
c18-results.json:4-26, c30-results.json:4-26, and c31-results.json:4-26; mirror
the evidence in c17-results.md:12-13, c18-results.md:12-13,
c30-results.md:12-13, and c31-results.md:12-13. Update c16-results.md:12-13 with
both counts and EG_params, while c29-results.md:12-13 records available control
parameters and explicitly marks candidate parameters unavailable.
Source: Coding guidelines
Comment on lines
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| { | ||
| "auto": true, | ||
| "campaign_id": "continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17", |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "== git rtk availability =="
if command -v rtk >/dev/null 2>&1; then
echo "rtk found"
PREFIX="rtk"
else
echo "rtk not available"
PREFIX=""
fi
echo "== target files =="
for f in \
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json \
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json \
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json \
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json
do
if [ -f "$f" ]; then
echo "--- $f"
python3 - <<'PYALL' "$f"
import json, sys
p=sys.argv[1]
with open(p) as fh:
data=json.load(fh)
print("keys:", sorted(data.keys())[:20])
print("stamp_schema:", data.get("stamp_schema"))
print("version_stamp_type:", type(data.get("version_stamp")).__name__)
print("version_stamp:", data.get("version_stamp"))
PYALL
else
echo "missing: $f"
fi
done
echo "== version manifest candidates =="
fd -a "version" . | sed 's#^\./##' | grep -E '(resources/versions\.json|versions\.json|version-stamp|stamp)' | head -100 || trueRepository: Tyler-R-Kendrick/slm-training
Length of output: 2252
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "== locate version_stamps scripts/specs =="
rg -n --hidden --glob '!*.pyc' --glob '!__pycache__/*' \
"version_stamp|stamp_schema|verify_version_stamps|resource.*versions|VERSION" \
. \
--glob '!outputs/**' \
--glob '!build/**' \
--glob '!dist/**' \
| head -200 || true
echo "== inspect docs/design version-related files =="
fd . docs/design -t f -e json -e md | sort | head -120Repository: Tyler-R-Kendrick/slm-training
Length of output: 31337
Add generated version stamps to these result JSON payloads.
These files are missing version_stamp entirely, and result docs must include stamp_schema: "version_stamp/v1" plus component versions from src/slm_training/resources/versions.json. Do not add hand-written stamp values; regenerate with the repository versioning helpers and run python -m scripts.verify_version_stamps --check.
📍 Affects 4 files
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json#L1-L3(this comment)docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json#L1-L3docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json#L1-L3docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json#L1-L3
🤖 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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json`
around lines 1 - 3, Regenerate version stamps for all affected result
payloads—docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c17-results.json
(lines 1-3),
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c18-results.json
(lines 1-3),
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c30-results.json
(lines 1-3), and
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c31-results.json
(lines 1-3)—using the repository versioning helpers and component versions from
src/slm_training/resources/versions.json. Ensure each includes stamp_schema
"version_stamp/v1" and generated version_stamp data, without hand-written
values, then run python -m scripts.verify_version_stamps --check.
Source: Coding guidelines
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| "cycle_index": 33, | ||
| "cycle_intent": "retry_measurement", | ||
| "cycle_role": "screening", | ||
| "evidence_class": "fixture", | ||
| "honesty": "fixture_screening_only_not_ship", | ||
| "loop_id": "continuous-openui-scheduled-2805", | ||
| "measurement_complete": true, | ||
| "positive": false, | ||
| "primary_metric": "smoke.structural_similarity", | ||
| "reasons": [ | ||
| "fixture_insufficient_n:c20260809-continuous-openui-schedu-e9c397aa-c33-control", | ||
| "fixture_insufficient_n:c20260809-continuous-openui-schedu-e9c397aa-c33-semantic-contrast-compiler-margin", | ||
| "primary_quality_win_rejected_latency_budget:smoke.structural_similarity:lat=3529.91->10799.78", | ||
| "primary_metric_win:smoke.structural_similarity:0.17416666666666666->0.41973333333333335:improvement=0.24556666666666668" |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
rtk rg -n -C 5 'measurement_incomplete|retry_measurement|retry_of|semantic-contrast-compiler-margin' docs/designRepository: Tyler-R-Kendrick/slm-training
Length of output: 208
🏁 Script executed:
#!/bin/bash
set -u
echo "rtk availability:"
command -v rtk || true
echo
echo "Locate target files:"
fd 'continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-(results\.json|results\.md)$' . || true
echo
echo "Search relevant terms in docs/design (without rtk):"
rg -n -C 5 'measurement_incomplete|retry_measurement|retry_of|semantic-contrast-compiler-margin' docs/design || true
echo
echo "Search relevant terms in repository (without rtk):"
rg -n -C 4 'measurement_incomplete|retry_measurement|retry_of|retry of|retry_of|original-arm|original arm|loop_id|cycle_index' . || trueRepository: Tyler-R-Kendrick/slm-training
Length of output: 50386
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#!/bin/bash
set -eu
echo "Target files:"
fd 'continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c(32|33)-results\.(json|md)$' . || true
for path in $(fd 'continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c(32|33)-results\.(json|md)$' .); do
echo "===== $path ====="
wc -l "$path"
sed -n '1,220p' "$path"
done
echo
echo "Search exact loop/campaign ids and cycle markers in docs/design:"
rg -n 'continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c3[0-9]|cycle_index": 3[0-2]|retry_of|original.*arm|replay.*frozen|same frozen|same frozen pair|frozen pair' docs/design || trueRepository: Tyler-R-Kendrick/slm-training
Length of output: 50385
🏁 Script executed:
#!/bin/bash
set -u
echo "Find candidate definitions/serialization around continuous_cycle_results:"
rg -n -C 5 'schema\": \"continuous_cycle_results/v1\"|continuous_cycle_results|cycle_intent|cycle_role|reasons|cycle.*intent|retry_measurement|replay.*frozen|identical frozen' src scripts docs/design | head -n 260 || true
echo
echo "Locate files containing continuous_cycle_results schema:"
rg -n "continuous_cycle_results/v1" . --glob '!**/.git/**' --glob '!results.json' | head -n 60 || trueRepository: Tyler-R-Kendrick/slm-training
Length of output: 31667
🏁 Script executed:
#!/bin/bash
set -u
echo "Inspect the result construction in run_autotrain_continuous.py around schema emission:"
sed -n '2280,2390p' scripts/run_autotrain_continuous.py
echo
echo "Search retry/frozen reconstruction fields near result emission:"
sed -n '2100,2280p' scripts/run_autotrain_continuous.py
echo
echo "Check deterministic schema fields in c32/c33 JSON:"
python3 - <<'PY'
import json
from pathlib import Path
paths = [
"docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c32-results.json",
"docs/design/continuous-loop-20260809-_continuous-openui-schedu-e9c397aa-c33-results.json",
]
for path in paths:
p=Path("docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c"+ ("32" if "c32" in path else "33") +"-results.json")
data=json.loads(p.read_text())
print("path", p)
for key in ["campaign_id","campaign_id","cycle_index","cycle_intent","reasons","schema","auto","measurement_complete","control_metrics","candidate_metrics"]:
print(key, data.get(key))
PY
echo
echo "Inspect the c33 markdown header/body:"
sed -n '1,80p' docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.mdRepository: Tyler-R-Kendrick/slm-training
Length of output: 16416
🏁 Script executed:
#!/bin/bash
set -u
echo "Find AutotrainCycleHandoffV1 and retry handoff fields:"
rg -n -C 8 'class AutotrainCycleHandoffV1|retry|retry_of|frozen|reason: measurement_incomplete|measurement_incomplete' src scripts --glob '!**/__pycache__/**' | head -n 300 || true
echo
echo "Locate handoff JSON in workspace root if present:"
fd 'cycle_handoff\.json|state' . -t f | sed -n '1,80p' || trueRepository: Tyler-R-Kendrick/slm-training
Length of output: 27862
Link the retry to its predecessor before documenting it as closed.
docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.json and the mirrored docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.md label this cycle as retry_measurement, but the JSON fields and Markdown body only reference the new c33 arms. Add a canonical retry_of/predecessor campaign id or a frozen-arm identity so the c32 failure to c33 replay is auditable.
🤖 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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c33-results.json`
around lines 28 - 41, Update the c33 retry documentation in the JSON results and
mirrored Markdown to include a canonical predecessor reference, such as retry_of
pointing to the c32 campaign or a frozen-arm identity. Ensure the reference
clearly links the c32 failure to the c33 replay while preserving the existing
c33 measurement data.
Comment on lines
+28
to
+40
| "cycle_index": 34, | ||
| "cycle_intent": "screening", | ||
| "cycle_role": "screening", | ||
| "evidence_class": "fixture", | ||
| "honesty": "fixture_screening_only_not_ship", | ||
| "loop_id": "continuous-openui-scheduled-2805", | ||
| "measurement_complete": true, | ||
| "positive": true, | ||
| "primary_metric": "smoke.structural_similarity", | ||
| "reasons": [ | ||
| "fixture_insufficient_n:c20260809-continuous-openui-schedu-e9c397aa-c34-slot-augmentation", | ||
| "fixture_insufficient_n:c20260809-continuous-openui-schedu-e9c397aa-c34-control", | ||
| "primary_metric_win:smoke.structural_similarity:0.4135333333333333->0.4428666666666667:improvement=0.029333333333333378" |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
rtk rg -n -C 4 '"positive"|"fixture_insufficient_n"|"primary_metric_win"|"honesty"' docs/design README.md docs/MODEL_CARD.mdRepository: Tyler-R-Kendrick/slm-training
Length of output: 208
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "rtk availability:"
command -v rtk || true
echo
echo "Target file excerpt:"
if [ -f docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.json ]; then
cat -n docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c24-results.json 2>/dev/null | sed -n '1,90p' || true
cat -n docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.json | sed -n '1,90p' || true
else
echo "target file not found"
fi
echo
echo "Search for positive/fixture_insufficient_n/primary_metric_win/honesty (fixed fallback):"
python3 - <<'PY'
import pathlib, json, re
roots = [pathlib.Path('docs/design'), pathlib.Path('README.md'), pathlib.Path('docs/MODEL_CARD.md')]
patterns = ['positive', 'fixture_insufficient_n', 'primary_metric_win', 'honesty']
for root in roots:
if not root.exists():
continue
if root.is_file():
paths = [root]
else:
paths = list(root.rglob('*'))
hits = []
for p in sorted(paths)[:2000]:
if p.is_file() and p.suffix in {'.json','.jsonl','.md','.yml','.yaml','.py'}:
try:
text = p.read_text(errors='ignore')
except Exception:
continue
for i,line in enumerate(text.splitlines(),1):
if any(s in line for s in patterns):
hits.append((p, i, line.strip()))
if hits:
print(f"--- {root} ---")
for p,i,line in hits[:200]:
print(f"{p}:{i}:{line}")
PY
echo
echo "Find result files:"
find docs/design -maxdepth 2 -type f -name '*continuous*results*.json' -o -name '*openui*schedu*results*.json' 2>/dev/null | sort | sed -n '1,80p'Repository: Tyler-R-Kendrick/slm-training
Length of output: 50385
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "Locate classifier/policy files:"
git ls-files | rg '(^scripts/|autotrain.*policy|positive|continuous.*loop|results schema|schema)' | sed -n '1,200p'
echo
echo "Find definitions of positive classification rules:"
rg -n -C 3 'positive.*if|positive =|positive_classification|fixture_insufficient_n_alone|fixture_insufficient_n|primary_metric_win|primary_metric_null_or_worse' scripts src docs/design | sed -n '1,240p'Repository: Tyler-R-Kendrick/slm-training
Length of output: 44475
🏁 Script executed:
#!/bin/bash
set -euo pipefail
python3 - <<'PY'
import pathlib, re, json
root = pathlib.Path('scripts/run_autotrain_continuous.py')
text = root.read_text()
print("Positive classification function:")
m = re.search(r'(?s)def[_\s]+classify_positive_metrics.*?:', text)
print("found positive function def:", bool(m))
if m:
start = m.start(); end = text.find("\ndef ", start+1)
print(text[start:end if end != -1 else start+4500])
PY
echo
echo "Relevant positive classification lines:"
sed -n '624,720p' scripts/run_autotrain_continuous.py | cat -n
echo
echo "Markdown renderers around positive/false flags:"
rg -n -C 5 'def .*render|positive' scripts/run_autotrain_continuous.py | sed -n '1,220p'Repository: Tyler-R-Kendrick/slm-training
Length of output: 14070
🏁 Script executed:
#!/bin/bash
set -euo pipefail
sed -n '720,820p' scripts/run_autotrain_continuous.py | cat -n
echo
echo "_classify_positive occurrences:"
rg -n -C 8 'def _classify_positive|_classify_positive\(' scripts/run_autottrain_continuous.py scripts/run_autotrain_continuous.py | sed -n '1,240p'Repository: Tyler-R-Kendrick/slm-training
Length of output: 11390
🏁 Script executed:
#!/bin/bash
set -euo pipefail
sed -n '6881,7050p' scripts/run_autotrain_continuous.py | cat -n
echo
echo "Summary of continuous result positive values and insufficient_n_alone markers in recent schedule batch:"
python3 - <<'PY'
import pathlib, json, re
for p in sorted(pathlib.Path("docs/design").glob("continuous-loop-20260809-continuous-openui-schedu-e9c397aa-*-results.json")):
data=json.loads(p.read_text())
if data.get("positive") or any("fixture_insufficient_n_alone" in str(r) for r in data.get("reasons",[])):
print(p, "positive=", data.get("positive"), "stack=", data.get("stack_layer"), "reasons=", data.get("reasons")[:5])
PYRepository: Tyler-R-Kendrick/slm-training
Length of output: 23929
Classify underpowered fixture wins as non-positive.
positive: true with fixture_insufficient_n on both arms and primary_metric_win conflicts with the Phase A gate contract, which marks fixture insufficient_n as non-positive. Keep the raw win reason but set positive to false and regenerate the markdown so the batch treats this screened fixture result as non-positive and not a stack-layer gate.
🧰 Tools
🪛 OpenGrep (1.26.0)
[ERROR] 40-40: Possible credit card number (PAN) detected in source code. Credit card numbers should never be hardcoded or stored in source files. Use a secrets manager or tokenization service instead.
(coderabbit.pii.credit-card-number)
[ERROR] 40-40: Possible credit card number (PAN) detected in source code. Credit card numbers should never be hardcoded or stored in source files. Use a secrets manager or tokenization service instead.
(coderabbit.pii.credit-card-number)
🤖 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
`@docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c34-results.json`
around lines 28 - 40, Update the record identified by loop_id
continuous-openui-scheduled-2805 so fixture_insufficient_n on both arms
overrides the raw primary_metric_win classification: set positive to false while
retaining the existing win reason, then regenerate the corresponding markdown
output so the screened fixture result is treated as non-positive and not as a
stack-layer gate.
Source: Coding guidelines
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Summary
autotraincontinuous loop (continuous-openui-scheduled-2805) viapython -m scripts.run_autotrain_supervisoron fixture-scalewf_smoke_v2TwoTower thrash arms, for 150 cycles.stepschampion — the sole confirmed champion of 11 candidates found across the run — has failed promotion three consecutive times, identically:PROMOTE_FORMAL_PREFLIGHT status=unknown→PROMOTE_FORMAL_BLOCK skip_execute wall_s=180→CHAMPION_STATUS status=harness_failurestatus=unknown, samewall_s=180, retried on a fresh commit tipstatus=unknown, samewall_s=180, retried on a fresh commit tipCHAMPION_PROMOTE_DISPOSE status=harness_failure cert_policy=None formal=unknown primary_delta=None primary_met=Noneis byte-identical across all three attempts — no new diagnostic information between retries, only a new commit SHA each time.improve-openui-harnesses/ Lean investigation, not more autotrain cycling.retry_measurementwithout a hard block across the run;hard_pendingstayed empty for all non-promotion cycles.origin/maintwice (cycle 42, cycle 82); both resolved cleanly with touched-path tests passing post-merge.docs/design/continuous-loop-20260809-continuous-openui-schedu-e9c397aa-c<N>-results.{md,json}(this PR) — the iron-law record.Next steps (for a future session)
improve-openui-harnesses(or Lean-specific) investigation into whyPROMOTE_FORMAL_PREFLIGHTreturnsstatus=unknownrather than a definitive pass/fail for the champion atchamp-continuous-openui-scheduled-2805-132-d27083c38c68a412(fingerprintd27083c38c68a412), and whether the 180s wall budget is sufficient for this environment.Test plan
documenting-experiment-resultsJSON + markdown pairs committed for each cycle underdocs/design/scripts.verify_version_stamps --check --stagedpassed on every commitpyteston all touched-path suites post-merge: 183 passed (cycle-42), 43 passed (cycle-82)outputs/or checkpoint blobs staged