# Stage 45 — sealed synthetic-history transaction revision (final planner correction)

## Boundary
Planning only; supersedes stage 44 SHA-256 `c83abeccfdabbf5c96a8a60a37c0059b3e4cfad53846aceab5f0290eeaf9a3b0`. No product/profile/test/Telegram/provider/deployment mutation is authorized. Later source/fixture changes are limited to `/home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli`; later runtime work is limited to the fixed registered `dualcoachtest/virtual_customer` APIs. Never direct-write JSONL or call `recover`, migration, truncation, delete/restore, gateway/service/provider/Telegram, approval/activation/reservation/delivery/deployment.

Fixed scenario: `synthetic_30_day_v2`, seed `synthetic-30day-v2-dualcoachtest-2026-07-27`, offsets 0..29/KST 2026-06-28..2026-07-27, recorded time `2026-07-27T23:59:00+09:00`, seed SHA `2f319fff9a0d89189f8c943605a048972fc7a90013b04ca303551b65c471b936`, scenario SHA `34119a44c4a505433bbc192f1bd9a0a72fb7d2df9dc845ae21a5ab308ed332cd`, owner SHA `3daa1af451f593b7bd0832ac6c04d5e93fa2c2cd04d0a1960ed7bd810697ad18`, generation SHA `63d284286ed10e3a480b6480eea47b3662904caeb502ee5570fc9f65343b1520`. Preserve baseline 44, offset 11 omitted, root offsets `[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,23,27,28]`, and training offsets `[1,3,5,8,10,12,15,22,26,28]`; all-skipped is zero-write.

## ADR decisions
1. Closed literal baseline manifest, never runtime-discovered artifact universe.
2. In-workspace typed synthetic protocol plus explicit union loader; do not edit unrelated physique-coach contract.
3. Durable intent-aware sole mutating recovery; ordinary readers fail closed.
4. Coverage is generation members only, never incumbent 44.
5. Literal independently checked scenario/golden/derived-plan fixtures; a generator never blesses its own result.

## Sole correction identity
The only correction ID is `synthetic_6a2a26ed2bc60126dc0e040c`; no alternative spelling is valid. It is ordinal 19 after the 18 roots and is the correction ID in golden bytes, pair intent/complete, transactions, coverage, tombstones, retraction/replay/crash tests and reports.

Canonical bytes use UTF-8 `json.dumps(value, ensure_ascii=False,sort_keys=True,separators=(',',':'))` plus LF. Exact correction JSON+LF (831 bytes, SHA-256 `9d74419621e3e9f8d08f8f2e5fcc279b927ffea9816c322194119c916b87fe82`) is:
```json
{"check_in":{"body_weight_kg":78.2},"dedupe_key":"242929ce8e124aaaf52c020e2ce0ead656bc66308468b6f6309318ddea7f96eb","event_id":"synthetic_6a2a26ed2bc60126dc0e040c","event_kind":"correction","event_type":"correction","history_correction":{"corrected_fields":["body_weight_kg"],"root_event_id":"synthetic_a5d5104b012a39359bbbeeab","root_payload_sha256":"a1f8083950f0b5ff15abdd2cd4318013d8132db34846cf674cac2ee831bd2282"},"occurred_at_kst":"2026-07-21T00:01:00+09:00","provenance":{"generation_digest":"63d284286ed10e3a480b6480eea47b3662904caeb502ee5570fc9f65343b1520","source_ref":"synthetic_history_v2:dualcoachtest:virtual_customer","source_type":"synthetic_derived"},"recorded_at_kst":"2026-07-27T23:59:00+09:00","schema_version":"synthetic_history_event_v1","status":"accepted","supersedes":"synthetic_a5d5104b012a39359bbbeeab"}
```
Base64: `eyJjaGVja19pbiI6eyJib2R5X3dlaWdodF9rZyI6NzguMn0sImRlZHVwZV9rZXkiOiIyNDI5MjljZThlMTI0YWFhZjUyYzAyMGUyY2UwZWFkNjU2YmM2NjMwODQ2OGI2ZjYzMDkzMThkZGVhN2Y5NmViIiwiZXZlbnRfaWQiOiJzeW50aGV0aWNfNmEyYTI2ZWQyYmM2MDEyNmRjMGUwNDBjIiwiZXZlbnRfa2luZCI6ImNvcnJlY3Rpb24iLCJldmVudF90eXBlIjoiY29ycmVjdGlvbiIsImhpc3RvcnlfY29ycmVjdGlvbiI6eyJjb3JyZWN0ZWRfZmllbGRzIjpbImJvZHlfd2VpZ2h0X2tnIl0sInJvb3RfZXZlbnRfaWQiOiJzeW50aGV0aWNfYTVkNTEwNGIwMTJhMzkzNTliYmJlZWFiIiwicm9vdF9wYXlsb2FkX3NoYTI1NiI6ImExZjgwODM5NTBmMGI1ZmYxNWFiZGQyY2Q0MzE4MDEzZDgxMzJkYjM0ODQ2Y2Y2NzRjYWMyZWU4MzFiZDIyODIifSwib2NjdXJyZWRfYXRfa3N0IjoiMjAyNi0wNy0yMVQwMDowMTowMCswOTowMCIsInByb3ZlbmFuY2UiOnsiZ2VuZXJhdGlvbl9kaWdlc3QiOiI2M2QyODQyODZlZDEwZTNhNDgwYjY0ODBlZWE0N2IzNjYyOTA0Y2FlYjUwMmVlNTU3MGZjOWY2NTM0M2IxNTIwIiwic291cmNlX3JlZiI6InN5bnRoZXRpY19oaXN0b3J5X3YyOmR1YWxjb2FjaHRlc3Q6dmlydHVhbF9jdXN0b21lciIsInNvdXJjZV90eXBlIjoic3ludGhldGljX2Rlcml2ZWQifSwicmVjb3JkZWRfYXRfa3N0IjoiMjAyNi0wNy0yN1QyMzo1OTowMCswOTowMCIsInNjaGVtYV92ZXJzaW9uIjoic3ludGhldGljX2hpc3RvcnlfZXZlbnRfdjEiLCJzdGF0dXMiOiJhY2NlcHRlZCIsInN1cGVyc2VkZXMiOiJzeW50aGV0aWNfYTVkNTEwNGIwMTJhMzkzNTliYmJlZWFiIn0K`.

## Schema and loader
Ordinary authoritative schema remains `/home/cube/.hermes/profiles/physique-coach/contracts/checkin-event.schema.json`, loaded by unchanged `checkin_cli.models.validate_event()` in `checkin_cli/models.py`; ordinary events still must pass it. Add in-workspace `synthetic_history_models.py` (frozen, forbid-extra typed root/correction/retraction/coverage/intent/tombstone/pair/transaction models), `schemas/synthetic-history-event-v1.schema.json`, `schemas/synthetic-history-journals-v1.schema.json`, and `history_synthetic.load_canonical_record_bytes`. The loader dispatches exact ordinary versions to unchanged validator and exact `synthetic_history_event_v1` to the synthetic schema then explicit `event_kind` model; unknown/mixed/cross-kind fields, non-derived provenance, wrong KST timestamp fail. Update `CanonicalEventTransaction.read_snapshot_readonly`, EventStore, AdaptiveEventStore, projection and `AdaptiveOperatorService._validate_journal_consistency` to use it.

## Reproducible independent fixtures
Commit literal checked-in `fixtures/synthetic_history_v2/synthetic-history-v2-scenario.json` with all 19 ordered members, every exact numeric/string/enum/timestamp/target/actual/omission/owner/payload SHA/ID; `golden-canonical-events.jsonl`, 19 rows/29,775 bytes/SHA `56a49db5f96e44bb48bb5dd1f6d7f93e974cf72ac1a282409b7cdc66be47b54a`; and literal `golden-derived-plan-import.json`/`golden-derived-plan-retract.json` schema `synthetic_derived_plan_v1`. Test-only independent `tests/fixtures/build_synthetic_history_v2_fixture.py` parses scenario without importing production model/serializer/store and emits only a temp candidate. Tests independently parse scenario/expected bytes, calculate fixture SHA/count, then compare production serializer actual bytes; no generator may update expectations. Use Decimal SHA-derived U, ROUND_HALF_EVEN, exact textual enums and explicit precision (factor 3 decimals; weight 1; calorie/macros integer) so float/locale/time/random/order cannot influence bytes.

## Closed reviewed literal baseline manifest

**This is a closed execution input, not a capture procedure.** Commit this literal as `checkin_cli/fixtures/synthetic_history_v2/expected-baseline-manifest.json` (schema `synthetic_expected_baseline_v2`) before any import-capable code is invoked. Its canonical table is the exact UTF-8 `json.dumps(entries, ensure_ascii=False, sort_keys=True, separators=(',', ':'))` encoding below; it has **41** entries and SHA-256 **`5d65c5502a0ae45692e9650f882231d6119ac30bda7a01146adfdf6c0a5de71d`**. Each entry is a regular existing file; `line_count` is `raw.count(b"\n") + int(bool(raw) and not raw.endswith(b"\n"))`. The literal archive below is the required raw-byte Base64 representation: Base64-decode to a gzip stream (gzip mtime=0), decode its USTAR archive (entry mode 0600, uid/gid/mtime=0, pathname ordering exactly the table), then require every extracted raw byte string to match its corresponding table SHA/size/line count. Archive SHA-256 is **`6213be708d9858fdd25e4a9deec591546779d43cbf0b1410e9909c7677432ddc`**. No value is read from the target at execution to form expected state.

The protected artifact root is `/home/cube/.hermes/profiles/dualcoachtest`; every `path` below is relative to it. Preflight parses this table and archive from the checked-in manifest, requires the count/table/archive digests above, opens each exact pathname with `O_NOFOLLOW`, requires a regular file/existence/byte-size/line-count/SHA-256/raw-archive match, and rejects missing, duplicate, substituted, or extra protected entries. It uses the literal parent/name sets embedded here (not globbing or registry/runtime discovery): root protected names `profile.yaml`, `customers/registry.json`, `data/customer-activation-journal.json`, and `data/customer-activation-audit.jsonl`; the 16 non-lock `nutrition-plans` names below; `wizard/events.jsonl`; exactly the 15 `wizard/drafts` names below; exactly the three `wizard/*telegram-bindings.json` names below; and exactly the two `wizard/views` names below. The only allowed absent-before-import paths are the six transaction-owned journal literals listed later; their creation is allowed only by the sole mutator. Any other non-lock file in those named nutrition/wizard/draft/view/binding scopes is `stale_precondition`, zero-write. There is no wildcard, directory walk, runtime discovery, fallback, or future amendment path.

**Ordinary-v1 binding is a separate literal precondition.** `customers/registry.json` is the exact table entry SHA-256 `f68c6950f61014722e69fac8375477350a414fa520f839e0eedad308c8a33689`; its profile loader input is `registry_version="1"`, `mode="ordinary_v1"`. The registered binding fields are `customer_key_digest=97e5c6241a4cede712bcc7a6b93d2c049ed9917f1d36c8cba497fef1857319ed`, `data_root_digest=85c7b4a9e6632797bdcede8f189656f8630772a349336c9fedf8cd83bc627413`, `registry_digest=f68c6950f61014722e69fac8375477350a414fa520f839e0eedad308c8a33689`, `activation_digest=dc01bba9bea725aa272645b9d4a25a1b8e55faf1fe5c23f2f70d910b82e7a35c`, and `binding_digest=16f32bdeab4bd0c12ed8f73312efcc0f9d6ba06e9919cc32bc25cf21675546d7`. The activation digest is the SHA-256 of canonical JSON `{"activation_receipt_digest":null,"activation_receipt_id":null,"authority_digest":null,"customer_key":"virtual_customer"}`; it is bound to exactly the two reviewed activation artifacts `data/customer-activation-journal.json` and `data/customer-activation-audit.jsonl`, whose literal table/archive entries must both match. Preflight does not call activation, registry loading, registered-runtime lookup, recovery, or any provider/Telegram path; it compares these literals only. This supersedes the former inconsistent registry/activation/binding claims.

**Literal manifest table:**
```json
[{"byte_size":6139,"exists":true,"line_count":236,"path":"customers/registry.json","sha256":"f68c6950f61014722e69fac8375477350a414fa520f839e0eedad308c8a33689","type":"regular_file"},{"byte_size":1695,"exists":true,"line_count":3,"path":"data/customer-activation-audit.jsonl","sha256":"3a38f1111eb91f2756c2f34494dde2203234f2cb0bfe51e92a857133dfb0a08d","type":"regular_file"},{"byte_size":7726,"exists":true,"line_count":254,"path":"data/customer-activation-journal.json","sha256":"45456c7ac717629894bc6221827728b90d29847c56b3aa8046c4712182bfbea3","type":"regular_file"},{"byte_size":771,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/nutrition-plans/adaptive-overlays.jsonl","sha256":"20da8db4ab75c33056f6c4ead7b5962e1d9b6736e3ac14fa7dacf00162fb3038","type":"regular_file"},{"byte_size":19304,"exists":true,"line_count":14,"path":"data/customers/virtual_customer/nutrition-plans/adaptive-registration-config.jsonl","sha256":"da18997f4d2a26296958b390817243dbb0dce8a9e46aed5775a12cd80fe6fad4","type":"regular_file"},{"byte_size":99120,"exists":true,"line_count":14,"path":"data/customers/virtual_customer/nutrition-plans/adaptive-registration-inputs.jsonl","sha256":"e51273622a928e5ffb59686485823a513ab4d0312a4f30e9f8eba01ce12aa855","type":"regular_file"},{"byte_size":3584,"exists":true,"line_count":4,"path":"data/customers/virtual_customer/nutrition-plans/authority-mirror-intents.jsonl","sha256":"645294e323cfed2c25161e2a99027be759a2034bed50db6b3f454900e45f3cf1","type":"regular_file"},{"byte_size":11518,"exists":true,"line_count":44,"path":"data/customers/virtual_customer/nutrition-plans/canonical-sequence.jsonl","sha256":"238bddc00904d1177aff8e1279871d11e8996b5d9b224f3af96e6dfda6b131f3","type":"regular_file"},{"byte_size":3736,"exists":true,"line_count":8,"path":"data/customers/virtual_customer/nutrition-plans/config-epoch-journal.jsonl","sha256":"ab82daceb605ee9357033e8af965cc8a54ae52e98fec939fb02a67fa1b6ccfb2","type":"regular_file"},{"byte_size":55364,"exists":true,"line_count":16,"path":"data/customers/virtual_customer/nutrition-plans/events.jsonl","sha256":"15fec2f9a925e9ac15bfe0a77dc8158b52da47447a1f8ae45f1757f74d7c316a","type":"regular_file"},{"byte_size":206,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/nutrition-plans/feature-epoch.json","sha256":"caebe470e2f3bcd06c643315ba89fff24f80746895d9b04a78f01c6196b1d7b9","type":"regular_file"},{"byte_size":1427,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/nutrition-plans/food-catalog.json","sha256":"12b129d426aadd874ede64e701279b4c5addad934ffb39ae4d4518d71b04e654","type":"regular_file"},{"byte_size":84010,"exists":true,"line_count":42,"path":"data/customers/virtual_customer/nutrition-plans/input-approvals.jsonl","sha256":"24189669f03523874051574c7da161df56f51033e8523e10ce25404302f2f992","type":"regular_file"},{"byte_size":1070,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/nutrition-plans/meal-constraints.json","sha256":"32020005ab882750132f4015896df68ca2271e6c7a2b07372d96865b75adde9a","type":"regular_file"},{"byte_size":0,"exists":true,"line_count":0,"path":"data/customers/virtual_customer/nutrition-plans/policy-audit.jsonl","sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","type":"regular_file"},{"byte_size":0,"exists":true,"line_count":0,"path":"data/customers/virtual_customer/nutrition-plans/policy-revisions.jsonl","sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","type":"regular_file"},{"byte_size":436,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/nutrition-plans/policy.json","sha256":"78374d0d818b79de63fcd65b9a4c46858ae2d25dfbec58cfa4b92adc180419d9","type":"regular_file"},{"byte_size":57986,"exists":true,"line_count":88,"path":"data/customers/virtual_customer/nutrition-plans/source-day-intents.jsonl","sha256":"525edd99e6d1b5e464bfaa7a05c6482684a1efc3b9570c78a58bed0e6295c20b","type":"regular_file"},{"byte_size":21425,"exists":true,"line_count":44,"path":"data/customers/virtual_customer/nutrition-plans/source-days.jsonl","sha256":"bb3fd649945c56d0e43fdcf3542fbc5321365a7f3f268317e1d22072e647aed3","type":"regular_file"},{"byte_size":445,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/wizard/drafts/06b3f974c18ec2a7be75af933c419f06.json","sha256":"52846d65a123470c0ec634cda9483bb1ac2b4d631576241fceee4245cce33d84","type":"regular_file"},{"byte_size":725,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/wizard/drafts/0ffb12e46576c94124c4833213ee13ac.json","sha256":"2ed9625618b180fac48353048d5383747411047fba02ee7a4c0c7ae8e926615c","type":"regular_file"},{"byte_size":773,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/wizard/drafts/1f585a18aad56beafb478d56cf845433.json","sha256":"02093db2ee4624a68c68591be5a655ed38f2c286498f7412c9e487f9ac369c1e","type":"regular_file"},{"byte_size":638,"exists":true,"line_count":1,"path":"data/customers/virtual_customer/wizard/dra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```

**Literal `raw_archive_tar_gz_b64` (unwrapped Base64):**
```text
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
```

Preserve incumbent canonical pins: wizard events 36,631 bytes/44 rows/`6eb973a06db55df9d4ee1614fb98c2c32f676b240bb03f1b8cc6c706bea989eb`; sequence 11,518/44/`238bddc00904d1177aff8e1279871d11e8996b5d9b224f3af96e6dfda6b131f3`; source days 21,425/44/`bb3fd649945c56d0e43fdcf3542fbc5321365a7f3f268317e1d22072e647aed3`; intents 57,986/88/`525edd99e6d1b5e464bfaa7a05c6482684a1efc3b9570c78a58bed0e6295c20b`. Sealed reader rechecks dev/ino/size/SHA before/after lock and every append.

## Six journals, exact plans, recovery, coverage
Six private 0600 initial-missing/empty journals: `nutrition-plans/synthetic-history-pair-intents.jsonl` v1, `synthetic-history-pair-completes.jsonl` v1, `synthetic-history-transactions.jsonl` v1, `synthetic-coverage.jsonl` v1, `synthetic-coverage-intents.jsonl` v1, `synthetic-coverage-tombstones.jsonl` v1. Derived-plan fixtures contain fixed plan SHA/count and every ordered `{phase,journal,ordinal,bytes_b64,sha256}`: import pair-intent/event/sequence/pair-complete/transaction/coverage-intent/coverage/tombstone counts **19/19/19/19/4/38/19/0 = 137**; retract **1/1/1/1/4/38/0/19 = 65**; combined import+retraction **202**. These arithmetic pins are schema `synthetic_derived_plan_counts_v1`, canonical SHA-256 `4484c8336597ea5adeeaeda7488e133fccf4081d543f64fbda7be96ffe2a61bf`. Per-component canonical count hashes (schema `synthetic_derived_plan_component_count_v1`, canonical object `{schema_version,operation,phase,count}`) are: `import.pair_intent`=`160e5d105214e983eee414328e918313b1b63bfb7cc27e61032c67d5940a6fda`; `import.event`=`8f8eede468f97071981e0419072887f4bccd06e22beb7585bd610f18ab8123a9`; `import.sequence`=`4e90d2b87c5c563c528c0d44515093833e1f64a9a7be0b690408203758661492`; `import.pair_complete`=`cf2a1195223bedc850a3b2ff5577d7c15f31baf3a22c9370c019b580960510f5`; `import.transaction`=`d9c57d9199ac9942f49205da36826ed174de6c53b82aa0c73a3f39f823dd6ff0`; `import.coverage_intent`=`7eb2526556272ed9b37aea0456a77ca6f54f669cb77ede722cbd44322e2cd35e`; `import.coverage`=`e10bdd399a74b969c71e3210af7faf4973b6cf6644456e6d27ab1a0ac59f9a96`; `import.tombstone`=`71d4fa358e912cba87ad7823038d1720c953397f9ff583be00f64b3ceebd30ff`; `retract.pair_intent`=`edc2ea8c71a6410b1cde97ab5a490abe6ccfcf20edbe02d95c0bbf0d384c46d0`; `retract.event`=`89029a8d696295f38587d443b822fac30237814630a58d4dd2608004ad03b20f`; `retract.sequence`=`d5ec39dfc551686abc98d694b91b4b75cbb2e240fd77e2d832ceb69f52a775b5`; `retract.pair_complete`=`25bdf5933a2ece88ebcfb0c32b068e16df43677f90adb284b0e785c26e7dc282`; `retract.transaction`=`9ba4b7d3806afc34dacb84a5544f0abcedcc99d49d7a4a7ca738dd7da0c93e20`; `retract.coverage_intent`=`498efce7bf2027e18f5c0717a81b2499654ef7c8a576d41851357a7618d9d948`; `retract.coverage`=`2d401f3e6759c51411f9c9bcf198f273487801dc8cc3154f305062ca202ca313`; `retract.tombstone`=`4d7ae1f033a006c7ce8380076b49a84debe5b427afb4abf488f4e09755d04817`. Each literal golden plan embeds this count object and its hash plus its full ordered `{phase,journal,ordinal,bytes_b64,sha256}` list; the fixture file hash is computed over that literal canonical fixture and hard-coded in the fixture. Tests reject a count/hash mismatch or any absent/extra/reordered row before a mutator can use it. Thus every phase suffix is exact bytes, not digest-only.

`resume_synthetic_history_transaction` is sole mutator. Under lock order canonical → adaptive → journals lexical, it admits only one matching durable intent after immutable-prefix + exact-owned-suffix validation, completes intent→event→sequence→complete via append/write_all/flush/fsync, then strict loads. Revalidate immutable prefix and exact transaction suffix after every append; foreign/malformed/ambiguous/replacement is torn_pair_stop/CONFLICT zero-write. Legal states ABSENT, PAIR_INTENT, EVENT_SUFFIX, SEQUENCE_SUFFIX, PAIR_COMPLETE, CANONICAL_COMPLETE, DERIVED_PREPARED, DERIVED_COMMITTING, DERIVED_COMPLETE and RETRACTION forms. Ordinary readers/proposals/gateway/validation never recover and reject incomplete state.

Coverage invariant is synthetic-generation members only: initial active=0/tombstones=0; import active=19/tombstones=0; retraction active=0/tombstones=19; all-skipped zero writes. `resolve_canonical_coverage` replaces raw source-day equality while retaining legacy rows. Verify model/schema negatives, all baseline/fixture/plan bytes, every flush/fsync crash branch, prefix/suffix revalidation, locks, import/replay/retract/replay, reader failure, immutable outcomes, copied-root E2E maintain/no calorie change and no active post-retraction. Tripwire live constructors/calls; no endpoint.