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docs(native): record real PE and DOS delivery costs
Accept explicitly equivalent native answer representations while preserving exact source facts and unknown resource qualification. Keep detailed receipts outside Git. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
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@@ -7,6 +7,10 @@ JSON measurements belong outside the checkout. This document keeps the measured
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findings, verification scope and revision references; the scripts and `corpus.json`
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keep the reproduction inputs. Generated `results/` is ignored.
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Follow-up: [native PE/DOS entry views and real model verification](native-entry-views.md)
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records the post-merge native continuation, including a small-function case where
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four selected replies cost more bytes than the complete dossier.
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The 12 detailed checkpoint receipts were archived byte-for-byte before removal
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from the final PR tree. The archive `review-receipts-00d51e0fc-20261012` is in the
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private experiment lab outside the checkout; its `archive-index.json` records
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@@ -43,7 +43,7 @@ const settingDifferences = sameSettings.filter(
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!isDeepStrictEqual(left[key], right[key]) ||
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((key === "provider_search_path_sha256" ||
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(key === "native_workflow_source_sha256" &&
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left.native_question !== null)) &&
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typeof left.native_question === "string")) &&
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!/^[a-f0-9]{64}$/.test(left[key] ?? "")),
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);
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// Producer/view IDs identify different delivery observations; a named recovery
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@@ -0,0 +1,162 @@
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# Native PE and DOS entry-view checkpoint
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Continuation of [#2016](https://github.com/morluto/rea/issues/2016) after
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#2122 and #2193 merged. Real Ghidra observations and real Codex CLI answers
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support the selected native facets on these shipped inputs. They do not justify
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an automatic native summary policy: the four selected replies are larger than
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the complete dossier for the small PE entry, and smaller for the DOS entry.
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The initial complete analysis still runs and is delivered in both cases.
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This checkpoint changes experiment scripts, corpus inputs and grading only.
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Existing production CLI/MCP contracts, defaults and session behavior are unchanged.
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## Inputs and runtime
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Production runtime: main `10400fdb57e4226c5ce15af17968a664f35498ce`,
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including the merged WASM summary work and subsequent main changes. Node
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24.18.0/npm 11.16.0, locked dependencies, actual Ghidra 12.1.4 on Linux.
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Default auto-analysis remains enabled, with a 768 MiB JVM ceiling and one
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active processor. The whole process family uses the existing one-CPU,
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4 GiB hard/3 GiB early-stop, no-swap, bounded-task resource scope.
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| Shipped artifact | Selected bytes | SHA-256 | Static scope |
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| ---------------------------------- | -------------: | ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------- |
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| ShareX 19.0.2 `ShareX.exe` | 198,656 | `46af1ccc514b395cb703633abb5a505a771942b7db9b1915f31aeea541b3685f` | Native PE32+ x86-64 component with no CLR directory; entry `0x1400125c0` derived from original image base/RVA |
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| FreeDOS EDLIN 2.24 `BIN/EDLIN.EXE` | 31,492 | `96b2b6d543e2d8bdc83e313756444e103339eb5ee2c1229abe3607539b31ad6e` | Original UPX-compressed DOS MZ; admitted entry `0x10000`, independently verified static load image |
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Acquisition URLs, archive sizes/digests and exact regular ZIP members are in
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[corpus.json](corpus.json). EDLIN's package `APPINFO/EDLIN.LSM` reports its
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version and UPX compression. No binary was executed, unpacked or committed.
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The independent PE header does not establish Windows runtime behavior.
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DOS load-image verification and unpacking-stub pseudocode do not recover the
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editor's application logic or establish DOS execution. DOS COM is still untested.
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The SDK and frozen model runtime share the exact `dist/` and `bridge/` file
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table digest:
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`e2b67eb0966072fd8b159edfab074cbaf1db9bfc0ac9c57d25ba1435cc0fdbcf`.
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The model copy was independently checked against all 1,375 compiled files and
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30 bridge files. Runtime copies and detailed receipts remain outside Git.
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## Public SDK observations
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The workflow opens the selected target with Ghidra, resolves the entry,
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calls `analyze_function` once, reads retained procedure/pseudocode/callers/callees
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facets, and closes the ephemeral session. DOS obtains its address from
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`inspect_native_load_image` before resolving the procedure. Each facet is checked
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against the complete producer facts, original parent ID, target digest and distinct
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derived Evidence ID. The actual SDK validates named advertised output contracts.
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| Entry | Complete dossier JSON bytes | Four facet replies combined | Workflow seconds | First provider query seconds | Last-observed family CPU seconds | Sampled family peak MiB |
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| ------------ | --------------------------: | --------------------------: | ---------------: | ---------------------------: | -------------------------------: | ----------------------: |
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| ShareX PE | 50,936 | 68,257 | 63.123 | 57.490 | 63.660 | 1,197.85 |
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| EDLIN DOS MZ | 224,670 | 70,539 | 26.436 | 21.366 | 26.899 | 939.25 |
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These are exploratory observations, not a paired implementation performance
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cohort. JSON byte counts include the SDK tool-result representations, excluding
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catalog discovery and wire framing; they are not model token counts. Four PE
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facets cost about 34% more bytes than that dossier. The DOS facets cost about
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69% fewer bytes **when reading already-retained Evidence**. Their first analysis
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still returned the full dossier; summing both paths increases first-task traffic.
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The first provider query includes the observable wait for the imported Program
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and its analysis, not an independently measured engine-only stage.
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The observed PE entry contains 18 analyzed bytes, zero recorded callers and two
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resolved callees. Ghidra's terminal-call caveat remains explicit. The DOS entry
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contains 53 analyzed bytes and zero recorded callers/callees; overlapping
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instruction and abnormal stack-frame warnings remain in the pseudocode.
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Neither zero count establishes absence of unresolved runtime calls.
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An earlier PE probe completed production analysis and two facets, then failed
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its harness assertion: a pseudocode page is `{text, unit}`, not a string. That
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failed attempt remains archived and is excluded from successful workflow figures.
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The corrected exploratory SDK driver fingerprints are
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`4876c0ecaa84069ddc508e29649715c6c914bd3c4960a76fa9724b5992123699`
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and native-helper `76023ad45cd1edab57dcd4a8ccf29a9b8a8378029ff2d9711ae35c73940e80d6`.
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The published helper in `6d7f6885c` removes redundant scopes; replaying the actual
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PE/DOS replies reproduces every answer field and the same 9/10 calls. Recorded
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real jq entry and entry/main replies also preserve their selected facts, profile
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and 4/12-call ordering. These replays are driver regression checks, not fresh
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provider runs or timing measurements.
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## Real Codex CLI observations
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Three serial runs used Codex CLI 0.161.0, requested alias `gpt-5.6-terra`, high
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reasoning, temporary isolated profiles and the frozen modified REA MCP runtime.
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Resolved server-side model identity is not inferred. The same explicit seven-tool
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subset was enabled: open, containing-procedure resolution, dossier, analysis view,
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load image, retained Evidence discovery and close. This is not full-catalog tool
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selection verification. Questions are [PE](questions/native-pe.txt) and
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[DOS](questions/native-dos.txt).
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| Trial | Total input | Cached input | Uncached input | Output | Seconds | Calls / failed |
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| ----- | ----------: | -----------: | -------------: | -----: | ------: | -------------: |
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| PE 1 | 451,337 | 399,616 | 51,721 | 3,820 | 130.073 | 12 / 2 |
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| DOS 1 | 730,578 | 658,944 | 71,634 | 3,310 | 134.435 | 9 / 0 |
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| PE 2 | 498,322 | 429,056 | 69,266 | 3,038 | 192.373 | 9 / 1 |
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All three answers match the selected original digest, address, procedure
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classification/signature/locals, inclusive body ranges, body byte count,
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pseudocode prefix and relationship counts. Actual Evidence references were
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observed in the responses; target bytes remained unchanged, close completed and
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the copied profiles were removed. DOS additionally matches the verified load
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status and every supplied load-image metadata field. Manual review preserves
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static/packed-target and terminal-flow qualifications.
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The first grader expected only particular nested JSON shapes. It rejected PE's
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equivalent text-page object/inclusive-range label and could not grade DOS's
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explicit `entry @ 0x10000` display. The updated grader compares exact source
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values for those representations without parsing displays into lookup identities.
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It still rejects wrong text units, returned lengths, body endpoints and missing
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facts. Original answers and first grading attempts remain archived; regrading
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does not repeat model calls or change their tokens/times.
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The PE agent hit the advertised-but-unimplemented native summary recipe: both
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trials attempted `view: {kind: "summary"}`; the first also tried the invalid
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native facet `summary`. Those failed calls and all subsequent recovery/repeated
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reads remain included. The public SDK independently reproduced `invalid_request`
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for native summary on both inputs. This pre-existing contract-description mismatch
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is recorded in `/tmp/rea-analysis-efficiency-bugs-20261012.md` for team repair,
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as requested; this branch does not repair it.
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Model sampled peaks were 1,318.74 / 1,017.70 / 1,234.92 MiB, with last-observed
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family CPU 72.956 / 71.534 / 74.089 seconds. SDK/model scopes did not abort and
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their last-observed limit-event counters were zero. Final cgroup counters remained
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unavailable after scope teardown: the strict resource-qualified overall grades
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remain unverified. The selected fact/lifecycle checks pass; no universal latency,
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OOM absence or CPU/memory saving is inferred from these samples.
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## Reproduction and next decision
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Use the pinned toolchain and build the selected production revision. Keep its
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runtime copy, matching dependencies, provider settings, binaries and receipts
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outside the checkout, as described in [README.md](README.md).
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```sh
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python3 experiments/analysis-efficiency/resource-run.py -- \
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node experiments/analysis-efficiency/measure.mjs \
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--runtime-root /absolute/frozen-runtime --revision EXACT_PRODUCTION_SHA \
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--artifact sharex.exe --path /absolute/ShareX.exe \
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--providers /absolute/explicit-providers.json \
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--native-question entry-views --schemas selected \
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--output /absolute/new-native-measurement
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```
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For DOS select `--artifact freedos.edlin.exe` and the original extracted
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`EDLIN.EXE`. `--native-question entry` retains the existing compact experimental
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answer; `entry-views` performs additional verification reads and the explicit
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summary refusal probe. It does not select summary delivery from `analyze_function`.
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The helper fingerprint participates in comparison, and missing native helper
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fingerprints are not treated as a comparable current driver.
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Relevant validation includes the real workflows above, recorded-reply regression,
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grader negative probes, JavaScript/Python syntax, formatting/diff checks and
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`npm run check:fast`. The cold type/lint gate passed in 112.602 seconds with
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sampled peak 3,220,914,176 bytes and five last-observed `memory.high` events;
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this gate is not a performance-qualified experiment. Unrelated domain suites,
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packaging and earlier model cohorts were not rerun for this experiment-only change.
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The next useful comparison is question-specific native primitives versus a
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complete dossier, with identical requested facts and actual model trials.
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Larger PE functions and another unpacked DOS/COM application can extend the
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coverage progressively. Preserve existing complete defaults and solve the
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summary-description bug separately before recommending a native summary route.
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@@ -182,18 +182,49 @@ def main():
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} for row in rows], key=lambda row: row['node_id'])
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check('all_selected_module_identities', select(answer.get('modules', [])), select(reference['modules']))
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elif domain == 'native':
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for key in ['entry_address', 'pseudocode_prefix', 'caller_count', 'callee_count']:
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for key in ['entry_address', 'caller_count', 'callee_count']:
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check(key, answer.get(key), reference[key])
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containing = answer['containing_procedure']
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prefix = answer.get('pseudocode_prefix')
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if isinstance(prefix, dict) and prefix.get('unit') == 'utf16-code-units':
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text = prefix.get('text')
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if 'requested' in prefix:
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check('pseudocode_prefix.requested', prefix['requested'], 512)
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if 'returned' in prefix:
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check('pseudocode_prefix.returned', prefix['returned'], len(reference['pseudocode_prefix'].encode('utf-16-le')) // 2)
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prefix = text
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check('pseudocode_prefix', prefix, reference['pseudocode_prefix'])
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containing = answer.get('containing_procedure')
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expected_containing = reference['containing_procedure']['procedure']
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for key in ['address', 'name']:
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check('containing_procedure.' + key, containing.get(key, containing.get('procedure', {}).get(key)), expected_containing[key])
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procedure = answer['procedure']
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if isinstance(containing, str):
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# Compare the explicitly reported display to the known source;
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# never parse a display name into a canonical lookup identity.
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check('containing_procedure.display', containing,
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expected_containing['name'] + ' @ ' + expected_containing['address'])
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else:
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containing = containing if isinstance(containing, dict) else {}
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nested = containing.get('procedure')
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nested = nested if isinstance(nested, dict) else {}
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for key in ['address', 'name']:
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check('containing_procedure.' + key, containing.get(key, nested.get(key)), expected_containing[key])
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procedure = answer.get('procedure')
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procedure = procedure if isinstance(procedure, dict) else {}
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expected = reference['procedure']
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for key in ['address', 'name', 'classification', 'signature', 'locals']:
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check('procedure.' + key, procedure.get(key), expected[key])
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check('procedure.body_ranges', procedure.get('body_ranges', procedure.get('body', {}).get('ranges')), expected['body']['ranges'])
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check('procedure.total_bytes', procedure.get('total_bytes', procedure.get('body', {}).get('total_bytes')), expected['body']['total_bytes'])
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body = procedure.get('body')
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body = body if isinstance(body, dict) else {}
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check('procedure.body_ranges', procedure.get('body_ranges', body.get('ranges', body.get('ranges_inclusive'))), expected['body']['ranges'])
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check('procedure.total_bytes', procedure.get('total_bytes', body.get('total_bytes')), expected['body']['total_bytes'])
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if 'load_image' in reference:
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load = reference['load_image']
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status = answer.get('load_image_status')
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check('load_image_status', status.get('status') if isinstance(status, dict) else status, load['status'])
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if isinstance(status, dict):
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for key in ['format', 'load_segment', 'header_bytes', 'module_bytes', 'overlay_bytes']:
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if key in status:
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check('load_image.' + key, status[key], load[key])
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if 'entry_linear_address' in status:
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check('load_image.entry_linear_address', status['entry_linear_address'], load['entry']['linear_address'])
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calls = summary['completed_mcp_calls']
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checks['default_analysis_not_disabled'] = all(not call['arguments'].get('skip_auto_analysis', False) for call in calls if call['tool'] == 'open_binary')
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checks['session_close_completed'] = any(call['tool'] == 'close_binary' and call['status'] == 'completed' for call in calls)
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@@ -248,6 +279,7 @@ def main():
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and events['memory.events'].get('high') == 0
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)
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report = {
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'review_source_sha256': hashlib.sha256(Path(__file__).read_bytes()).hexdigest(),
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'domain': domain, 'checks': checks, 'all_selected_checks_pass': all(checks.values()),
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'differences': differences, 'tool_errors': tool_errors, 'summary': summary,
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'fingerprints': {key: value for key, value in settings.items() if 'sha256' in key or key in ['runtime_revision', 'enabled_tools', 'authority']},
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