Train the destination head and beat the teacher (V-661)

Step 3 of the routing-heads plan. Intent and destination share one masked mean
pool on e5-small. Destination scores 26/33 against 12/33 for the classifier
cascade and 24/33 for the cascade with gemma-4-12b, which is the teacher these
labels were distilled from. Recall goes 0/15 to 15/15.

Two heads, not four, and both cuts are label problems rather than GPU time.
Mood describes her own reply state and no dataset maps onto it. BIO slot tags
have no Maven-domain corpus.

The MASSIVE warm-start from step 2 is worth nothing here either. Stock ties it
on intent and leads by a third of a case on destination.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013ptwopxyo3Z2kwFckHkLvN

CLAUDE.md

@@ -246,6 +246,33 @@ was a hardcode. **Fine-tune a copy of the weights.** The resident embedder backs
 recall. Training it in place couples routing accuracy to recall@1, with nothing in the
 suite to name the trade.
 
+**Two of those heads are trained as of 08-08-2026, and they are not the three
+above** (V-661, `docs/evals/2026-08-08-routing-heads-two-head.md`). Intent and
+destination share one masked mean pool. Destination scores **26/33 (78.8%)** on
+the fixture. The classifier cascade scores 12/33 and the cascade with gemma-4-12b
+scores 24/33, so a 118M encoder beats the 12B teacher it was distilled from.
+Recall is 15/15 and world is 5/5. Intent is 93.6% mean over three seeds. That is
+**not** comparable to the 76.0% and 84.4% those two arms scored: a softmax has no
+clarify class, so the head's fixture is the 88 cases carrying an intent.
+
+**Mood is cut, not deferred.** The enum describes her own reply state, not the
+speaker's emotion, and no dataset maps onto it. **BIO slot tags have no
+Maven-domain corpus**, so they stay in the MASSIVE body from step 2. Both are
+label problems and neither is a GPU problem: the run is under four minutes.
+
+The MASSIVE warm-start of step 2 is worth nothing here. Stock e5-small ties it on
+intent and leads by a third of a case on destination. Nothing argues for keeping
+that step.
+
+What the head gets wrong is the floor. It names a destination where the fixture
+says walk the chain, and it is confident doing it. `"почему сервер тормозит"`
+reads `world` at 0.80. The training floor is generated ambiguous questions and the fixture floor
+is homelab operations, which are not the same distribution.
+
+**Nothing of this runs in Go.** The weights are `heads.pt` and `out/body_heads/`
+on workpc. Reaching the daemon needs an ONNX export and a caller. The resident
+e5-small must not be replaced by the copy, because recall depends on that file.
+
 `Confidence: 1.0` used to be hardcoded in `llmrouter.go`, so the LLM
 path could never ask for clarification (6/6 refusal cases missed on the fixture) — Vikunja
 #359. Fixed 31-07-2026 with structural signal (single-token utterance, keyless fact, act with
@@ -398,11 +425,60 @@ deliberately do not. "что у меня в списке покупок" matches
 the calendar there would take the list source off the turn.
 
 Fixture unchanged at **69/91 classifier+ONNX**, measured both sides. That is the
-expected result, because it scores intent and no case here changes intent. **The
-destination has no fixture yet, so it has no accuracy number.** That and the model arm
-are the follow-ups. The field is designed so a decider naming nothing costs nothing.
-It lands on V-546. Intent, mood and BIO slot tags were already three heads on one
-forward pass of the resident e5-small. Destination is a fourth head on the same pass.
+expected result, because it scores intent and no case here changes intent.
+
+**The destination has its own fixture and its own number as of 08-08-2026**
+(V-659, `docs/evals/2026-08-08-destination-fixture.md`). This section used to say
+it had neither. `want_source` on `eval.Case` is a pointer, because the destination
+has three states and a bare string has two. Absent is every intent but query,
+which never reaches `queryWalk`. Present and empty is the `SourceUnknown`
+contract: name nothing and walk the chain. Present and named is a destination the
+route must produce. Thirty-three of ninety-six cases carry one.
+
+A destination miss does **not** fail the case. It lands in `Outcome.SourceReason`
+and never in `Reasons`, so `Accuracy` and `IntentAccuracy` mean what they meant
+and `SourceAccuracy` is a second number over the labelled cases only. Intent and
+destination are two decisions, and one number hides which one moved. A route that
+lost its intent scores no destination hit, or a clarify would satisfy an empty
+label for free.
+
+Measured classifier+ONNX: intent **73/96 (76.0%)**, destination **12/33 (36.4%)**.
+The split is the finding. World is 5/5, because a stage 0 rule names it. The
+`SourceUnknown` floor is 5/7. Calendar is 2/6, because the possessive agenda
+rules deliberately do not name it. And **recall is 0/15, because nothing
+anywhere names it**. Those turns are still answered, since the chain walks
+recall early. Recall is the number the fourth head has to move.
+
+Seven cases assert the floor and six of them are homelab operations. They
+cluster because `SourceRecall`, `SourceNetwork` and `SourceAttention` overlap on
+every question about the box. `mavpoll` writes its netdata and uptime-kuma
+observations into the fact store recall reads. That is a finding about the enum,
+not a gap in the labelling.
+
+`baselineGrammars` in `eval_test.go` mirrors `buildRouter` and had drifted:
+`WorldQueryGrammars` was wired into the daemon by V-655 and not into the mirror,
+so the fixture scored a grammar set nobody runs. Fixed by V-659, worth 3 points of
+destination and nothing else. Check that function when adding a grammar.
+
+**The model arm landed the same day** (V-660,
+`docs/evals/2026-08-08-destination-model-arm.md`). `routeGrammar` carries a
+`source` rule closed over `router.Sources` plus the empty floor, so the model
+cannot emit a destination that does not exist. The prompt lists the twelve in
+Russian and says `""` is a normal answer to give often. `LLMRouter.Route` reads it
+back through `ValidSource` and on `IntentQuery` alone. Against gemma-4-12b on the
+workstation the cascade scores destination **24/33 (72.7%)** with intent unmoved
+at 84.4%, and **recall goes 0/15 to 14/15**. The resident Qwen3-1.7B is
+unmeasured, because it binds `--port 0` inside the container.
+
+**Stage 0 now costs four destination points.** It did not before. The four cases
+the cascade loses and the model alone wins are all calendar. The possessive
+agenda rules claim them first and name nothing on purpose. That caution was free
+while nothing downstream could name anything either. It is not free now, and the
+fix is the owner's call rather than a quiet edit.
+
+The last arm is V-546. Intent, mood and BIO slot tags were already three heads on
+one forward pass of the resident e5-small. Destination is a fourth head on the
+same pass, and 72.7% from a 12B teacher is the label source for training it.
 
 ## LLM output contract
 

docs/evals/2026-08-08-destination-fixture.md

@@ -0,0 +1,82 @@
+# The first destination number
+
+Measured 2026-08-08 on the classifier cascade with the ONNX multilingual
+embedder, the configuration homesrv runs. `make t PKG=./internal/router/eval/
+RUN=TestONNXBaseline V=1`. Covers V-659, the follow-up V-655 named.
+
+## What was measured
+
+V-655 split a routing decision in two. The cascade sorts an utterance into one
+of seven intents, and `Decision.Source` then says where the answer lives. The
+first half had a fixture. The second half arrived with none, so twelve
+destinations shipped with no accuracy number.
+
+`want_source` is now a field on `eval.Case`. It is a pointer, because the
+destination has three states and a bare string has two. Absent is every intent
+but query, which never reaches `queryWalk`. Present and empty is the
+`SourceUnknown` contract: name nothing and let the daemon walk the chain.
+Present and named is a destination the route must produce.
+
+Thirty-three of the ninety-six cases carry one. A destination miss does not
+fail the case, so `Accuracy` and `IntentAccuracy` mean what they meant.
+`SourceAccuracy` is a second number over the labelled cases only.
+
+## Result
+
+Intent is **73/96 (76.0%)**, against 69/91 (75.8%) before. Four of the five new
+cases pass and no existing case moved.
+
+Destination is **12/33 (36.4%)**, and the split is the whole finding.
+
+| destination | scored | note |
+|---|---|---|
+| world | 5/5 | `WorldQueryGrammars` names it at stage 0 |
+| the `SourceUnknown` floor | 5/7 | the two misses lost the intent first |
+| calendar | 2/6 | `calendar-query` names it, the possessive agenda rules do not |
+| recall | 0/15 | nothing anywhere names it |
+
+Recall is the number to move. Fifteen cases ask about his own words and his own
+facts. The route lands `query` on eleven of them and the destination comes back
+empty every time. Those turns are answered today, because the daemon walks the
+chain in order and the three recall passes are early in it. What is missing is a
+decider that says so, and that is the fourth head on V-546.
+
+Two cases labelled the floor lost their intent before a destination was
+possible. A clarify names nothing, so it would satisfy an empty label for free.
+`Score` requires the route to land the case's intent before it credits a
+destination hit, or the floor label would score itself.
+
+## Seven cases assert the floor, and six of them cluster
+
+The six are homelab operations. `SourceRecall`, `SourceNetwork` and
+`SourceAttention` overlap on every question about the box, because `mavpoll`
+writes its netdata and uptime-kuma observations into the fact store recall
+reads. "почему сервер тормозит" is answerable from all three. Naming one takes
+the other two off the turn.
+
+That is a finding about the enum rather than a gap in the labelling. The floor
+is the right answer there and the fixture now says so out loud.
+
+## A drift the labelling found
+
+`WorldQueryGrammars` went into `buildRouter` with V-655 and never into
+`baselineGrammars`, the fixture's mirror of it. So the fixture was scoring a
+grammar set the daemon does not run. The comment above that function forbids
+exactly that. Adding it moved the destination number from 9/33 to 12/33 and
+moved nothing else.
+
+The three cases it recovered are `что такое TCP?`, `сколько будет 17 на 23?`
+and `кто такой Линус Торвальдс?`. All three already routed `query` through
+`NarrativeQueryGrammars`. So the drift was invisible to every number this
+fixture reported, until the destination had one of its own.
+
+## What this does not measure
+
+The model arm. This is the classifier cascade, which names a destination only
+where a stage 0 rule filled one in. The resident model has no destination in
+its router prompt yet, so 36.4% is a floor and not a comparison.
+
+Two pairs of cases are the same utterance. `ru-query-020` and `ru-query-024`
+are both "что дальше?", and `ru-query-021` and `ru-query-025` are both
+"расскажи про битву при Ватерлоо". They differ in tags and note only, so both
+pairs are counted twice here and in every earlier number this fixture reported.

docs/evals/2026-08-08-destination-model-arm.md

@@ -0,0 +1,66 @@
+# The destination, with a model that can name one
+
+Measured 2026-08-08 against gemma-4-12b on the workstation, the same 96-case
+fixture V-659 built. Covers V-660.
+
+```sh
+no_proxy='*' MAVEN_LLM_URL=http://192.168.1.105:8080 \
+  make t PKG=./internal/router/eval/ RUN=TestLLMRouterBaseline V=1
+```
+
+## The gap was structural
+
+V-659 measured the destination at 12/33 on the classifier cascade, with recall
+at 0/15. Nothing in `routeSystem` named a `Source` and `routeGrammar` could not
+emit one, so the resident model had no string to write. That is the shape V-517
+measured for Praxis reach at 0/12: not a weak model, an absent contract.
+
+`routeGrammar` now carries a `source` rule closed over `router.Sources` plus the
+empty floor. The prompt lists the twelve destinations in Russian and says that
+`""` is a normal answer to give often.
+
+## Result
+
+| run | intent | destination |
+|---|---|---|
+| classifier + ONNX (V-659) | 73/96 (76.0%) | 12/33 (36.4%) |
+| gemma-4-12b alone | 79/96 intent-only (82.3%) | 26/33 (78.8%) |
+| cascade + gemma-4-12b + hash fallback | 81/96 (84.4%) | 24/33 (72.7%) |
+
+Recall is the move: 0/15 to 14/15. Intent did not shift, which was the
+constraint. The prompt is shared, so a destination rule that costs routing
+points is not a win.
+
+The eight llm-only errors are the eight `want_clarify` cases. The model returned
+`unknown` on every one, which is correct, and the llm-only harness surfaces a
+decline as an error by design.
+
+## Stage 0 now costs four destination points
+
+The four cases the cascade loses and the model alone wins are all calendar. The
+possessive agenda rules claim them at stage 0 and deliberately name nothing.
+"что у меня в списке покупок" matches the same rule. Naming the calendar there
+would take the list source off the turn (V-655).
+
+So a rule written to be careful about the list now blocks a model that would
+have named the calendar correctly. Before V-660 that caution was free, because
+nothing downstream of stage 0 could name anything either.
+
+Three ways out, and each costs something. Split the possessive rule so the
+calendar-shaped half names its destination. Let a later stage overwrite an empty
+destination a grammar left behind, which reverses "a matched value always wins".
+Or leave it, on the argument that four points is cheap next to a wrong
+destination on a shopping list. This wants the owner's call rather than a quiet
+edit.
+
+## What this does not measure
+
+The resident Qwen3-1.7B, which is what homesrv runs. It binds `--port 0` inside
+the container and no host process can reach it. Scoring it needs a second
+llama-server on a fixed port. The workstation is never assumed
+up, so the homesrv number is the one that decides whether this ships on by
+default.
+
+The fixture is 33 labelled destinations over twelve values. Recall carries 15 of
+them and five destinations carry none at all. A per-destination number below
+world, recall, calendar and the floor is not supported by this fixture.

docs/evals/2026-08-08-massive-warm-start.md

@@ -0,0 +1,142 @@
+# MASSIVE Russian warm-start for the routing heads
+
+Measured 2026-08-08 on workpc (Radeon RX 7900 GRE, ROCm). Covers V-546 step 2.
+Workspace is `~/Programs/embed-training` on workpc, scripts `train_massive.py`,
+`ab_run.py`, `ab.sh`, `probe_time.py`.
+
+## What was trained
+
+Two heads on a copy of multilingual-e5-small: `Linear(384, 60)` for MASSIVE's
+own intents over a masked mean pool, `Linear(384, 111)` per token for BIO slot
+tags. MASSIVE's label sets verbatim, no alignment to Maven's 7 intents. The
+intent head is an auxiliary loss that shapes the pooled vector and is thrown
+away.
+
+Data is `amazon-massive-dataset-1.1` pulled from S3. The Hugging Face repo is
+script-only and `datasets` 5.0 refuses those, so `load_dataset` cannot fetch it.
+`ru-RU` is 11,514 train, 2,033 dev, 2,974 test, 60 intents, 55 slots, 111 BIO
+labels. All 16,521 rows survived span alignment: `annot_utt` re-tokenised to its
+own `utt` on every one.
+
+Hyperparameters match `train_intent.py`, so the two runs differ in data only.
+Frozen XLM-R vocabulary, body 2e-5, heads 1e-3, batch 32, sequence 64, 10
+epochs. MASSIVE's own dev partition selects the epoch, on slot F1 with intent
+accuracy as tiebreak. Selecting on 60-class intent accuracy would optimise a
+head that gets deleted.
+
+## Result
+
+Epoch 9 of 10 by dev slot F1. Held-out MASSIVE test: intent 86.2%, slot span
+F1 71.5% (P 68.5, R 74.8). Peak 1.70GB of 17.2GB, about 22 seconds an epoch,
+under 4 minutes end to end. Dev slot F1 climbed monotonically to epoch 9 and
+fell at 10, so 10 epochs was the right budget.
+
+Ten slot types sit at 0% test recall. Every one of them has 1 to 7 test
+instances: `alarm_type` has 3, `drink_type` has 1. That is support in MASSIVE's
+Russian split, not a tagger failure. `playlist_name` at 6% of 16 is the first
+real miss.
+
+## The intent A/B, and why it settles nothing
+
+`train_intent.py` was run against both bodies, three seeds by two smoothing
+settings, on `train_v4.jsonl`. It is v4 and not v5 because v4 is what
+`sweep2.log` measured. `ab_run.py` strips a `--base` flag onto the module global, so
+`train_intent.py` is unmodified and its baseline stays reproducible. The stock
+arm reproduced `sweep2.log` line for line.
+
+Fixture accuracy, 91 cases, one case is 1.1 points:
+
+| seed / smooth | stock | warm-started |
+|---|---|---|
+| 0 / 0.0 | 94.0% | 92.8% |
+| 0 / 0.1 | 95.2% | 92.8% |
+| 1 / 0.0 | 95.2% | 94.0% |
+| 1 / 0.1 | 95.2% | 97.6% |
+| 2 / 0.0 | 92.8% | 94.0% |
+| 2 / 0.1 | 92.8% | 96.4% |
+
+Mean 94.2% against 94.6%. That is +0.4 points, about a third of one case, and
+inside seed noise. Spread widened. Stock lands in a 2.4-point band and
+warm-started in a 4.8-point one. The warm-started arm holds both the best result
+of the sweep and a tie for the worst. Seed 0 is the bad arm and it fails in a
+specific way. Its dev peaks at epoch 2 and 3 and never improves, where stock
+peaks around 7. The dev slice is a quarter of the seed rows. That is small
+enough that early stopping is fragile when the body arrives already fitted.
+
+**The A/B was never the test.** Intent had at most 4.8 points of headroom here.
+MASSIVE was not trained for Maven's intents. Read it as "the warm-start does not
+cost intent accuracy", nothing more.
+
+## The measurement that does mean something
+
+`want_time` is the one slot Maven's fixture scores, and MASSIVE has `time` and
+`date`. Restricted to those two slot types, F1 is 74.9% over 609 gold spans on the
+MASSIVE ru test split. Precision is 71.5 and recall 78.7. That beats the 71.5%
+all-slot figure. Of the 530 test utterances carrying a time or a date, 73.4% get
+every such span exactly right.
+
+Out of domain matters more, because Maven's traffic is not this corpus. Ten
+Maven-shaped utterances, none of them in MASSIVE:
+
+| utterance | tagged |
+|---|---|
+| `напомни в 11:00 позвонить маме` | `time='11:00'`, `relation='маме'` |
+| `напомни завтра в семь утра выпить таблетки` | `date='завтра'`, `time='семь утра'` |
+| `поставь будильник на полседьмого` | `time='полседьмого'` |
+| `через двадцать минут напомни про чайник` | `time='двадцать минут'` |
+| `напомни в пятницу вечером забрать посылку` | `date='пятницу'`, `timeofday='вечером'` |
+| `что у меня сегодня после обеда` | `date='сегодня'`, `time='после'`, `timeofday='обеда'` |
+| `запиши что кофе закончился` | nothing |
+| `что такое TCP` | `definition_word='TCP'` |
+
+The first row is the V-572 defect utterance. `ReminderGrammar` handed the daemon
+`HasTime: false` there, and the daemon asked "Когда?" at a sentence that had
+already said when. `полседьмого` is a colloquial half-past that no digit pattern
+catches. `запиши что кофе закончился` correctly carries nothing, because a note
+has no time.
+
+Two errors. `после обеда` split into `time='после'` plus `timeofday='обеда'`
+when it is one span, and `через двадцать минут` dropped its `через`. Both are
+boundary errors on spans the tagger did find.
+
+Unplanned: `что такое TCP` returned `definition_word='TCP'`. MASSIVE has a slot
+for the thing being asked about, which is a `SourceWorld` signal sitting in a
+head already trained.
+
+Ten hand-picked utterances are evidence, not a fixture.
+
+## What this does not measure
+
+Maven has no span fixture. `want_time` and `want_fn` are presence booleans and
+`want_fact_key` is an exact string match, so nothing in the repo can score a
+71.5% span tagger. Destination got one the same day, at 12/33 on the classifier
+cascade: see `2026-08-08-destination-fixture.md`.
+
+The missing span fixture is why the warm-start stays unjudged against Maven
+rather than against MASSIVE.
+
+## Datasets ruled out
+
+Checked on 2026-08-08 and rejected as label sources:
+
+- **MASSIVE's other 50 locales** ship in the same tarball and are parallel by id.
+  Co-training on them is free and unmeasured. English was ruled out by the owner
+  on 2026-08-08.
+- **CLINC150** is reachable as parquet, 150 intents and 1,200 explicit
+  out-of-scope queries, English only. Its value is the labeled out-of-scope set
+  for fitting the energy threshold, not intent labels.
+- **`d0rj/dolphin-ru`**, roughly 2.8M rows of FLAN-style tasks translated to
+  Russian. No intent, no slots, and not utterances anyone says to an assistant.
+- **`psytechlab/EmpatheticIntents-ru`**, 24,856 rows of translated
+  EmpatheticDialogues with 32 emotion labels. Maven's mood enum is `neutral,
+  happy, thinking, tired, confused` and it describes her own reply, not the
+  speaker's emotion. No mapping exists.
+- **`ai-forever/MERA`** and **`RussianNLP/russian_super_glue`**, benchmark
+  harnesses. Rows are prompt templates with `{toxic_comment}` placeholders.
+- **`ZeroAgency/ru-big-russian-dataset`**, an LLM-judge quality corpus. Its
+  `question` and `classified_topic` columns are a usable Russian out-of-scope
+  pool for threshold fitting. That is the one thing CLINC150 can only supply in
+  English. The questions are long and written, so they belong in the negative
+  set, never in the in-scope `query` training set.
+- No second Russian slot-filling corpus exists. The xSID mirrors are 404,
+  MultiATIS++ has no Russian, SLURP is not on the Hub.

docs/evals/2026-08-08-routing-heads-two-head.md

@@ -0,0 +1,174 @@
+# Two heads on e5-small, and the first destination the router did not need a model for
+
+Measured 2026-08-08 on workpc (Radeon RX 7900 GRE, ROCm). Covers V-661, step 3 of
+`docs/plans/18-routing-heads-on-e5-small.md`. Workspace is `~/Programs/embed-training`,
+scripts `gen_query_source.py`, `label_source.py`, `build_heads_corpus.py`,
+`train_heads.py`, `score_confidence.py`.
+
+## Two heads, not four
+
+Intent is 7 classes and destination is 12 plus the `SourceUnknown` floor, sharing
+one masked mean pool over one forward pass. The plan asked for four. Two of them
+have no labels and neither is a GPU problem.
+
+**Mood is cut, not deferred.** Maven's enum is `neutral, happy, thinking, tired,
+confused` and it describes her own reply state, not the speaker's emotion.
+`psytechlab/EmpatheticIntents-ru` was the only candidate and its 32 emotion
+labels do not map onto it. There is nothing to train against.
+
+**BIO slot tags stay in the MASSIVE body.** No Maven-domain span corpus exists.
+`2026-08-08-massive-warm-start.md` records that no second Russian slot-filling
+corpus is reachable at all.
+
+The destination loss is masked with `ignore_index`. Only a query turn reaches
+`queryWalk`, so a reminder contributes nothing to it.
+
+## Where the destination labels came from
+
+V-660 taught the router prompt to name a destination. That made gemma-4-12b a
+teacher, and this distils it.
+
+Labelling the 300 query rows already in `train_v5.jsonl` gave 277 destinations.
+The shape was unusable: the floor 101, calendar 62, recall 47, and `feeds` and
+`attention` at zero. A 13-way softmax cannot learn a class with no examples.
+
+`gen_query_source.py` is the destination half of `gen_corpus.py` and runs the
+same two passes. Gemma writes questions whose answer lives in one named place.
+The daemon's own `routeSystem` prompt then routes each one back. A line survives
+only when the intent is `query` **and** the source is the destination it was
+generated for. The glosses are copied verbatim out of `route_system.txt`, so the
+generator and the labeller work from one definition.
+
+The prompt and the GBNF are dumped from `internal/router/llmrouter.go` by
+`TestDumpPrompt`, never retyped. The workspace held its own copies and V-660
+changed both.
+
+1229 kept of 2373 generated, 51.8%. Merged corpus is 3664 rows carrying 1727
+destinations:
+
+| | rows | | rows |
+|---|---|---|---|
+| the floor | 220 | world | 132 |
+| calendar | 180 | money | 126 |
+| tasks | 169 | list | 124 |
+| recall | 167 | self, feeds, attention | 120 each |
+| weather | 136 | network | 103 |
+| | | home | 50 |
+
+`home` is thin because the agreement filter rejected most of what was generated
+for it. A question about the house routes `act` more often than `query`. That is
+the filter working, and 50 is the finding rather than a shortfall.
+
+The 1229 generated rows carry `intent: null`. Every one is a query by
+construction. There are five times as many as the corpus has query rows, so
+including them would make query half the intent corpus.
+
+## Result
+
+Three seeds, two bodies, epoch chosen on the intent dev slice and never on a
+destination number.
+
+| body | intent mean | destination mean |
+|---|---|---|
+| warm-started `out/body_massive` | 93.6% | 75.8% |
+| stock `multilingual-e5-small` | 93.6% | 76.8% |
+
+Best single run is destination **26/33 (78.8%)**, reached by both bodies at seed
+0. Peak 1.68GB of 17.2GB, under four minutes end to end.
+
+Against the two arms already measured on the same 33 labelled cases:
+
+| | destination |
+|---|---|
+| classifier cascade (V-659) | 12/33 (36.4%) |
+| cascade + gemma-4-12b (V-660) | 24/33 (72.7%) |
+| two heads on e5-small | 26/33 (78.8%) |
+
+A 118M encoder beats the 12B teacher it was distilled from, on the fixture. The
+per-destination split is where it happens: **recall 15/15** and **world 5/5**.
+Recall was 0/15 on the cascade and 14/15 through gemma.
+
+Intent is **not** comparable to the 73/96 and 81/96 figures those two arms
+scored. A softmax has no clarify class. The head's fixture is the 88 cases that
+carry an intent, and the 8 `want_clarify` cases are scored separately below.
+
+## The MASSIVE warm-start is worth nothing here either
+
+Step 2 measured it at +0.4 points of intent accuracy and called that inside seed
+noise. Destination was the open question, because MASSIVE has a
+`definition_word` slot that looked like a `SourceWorld` signal sitting in a head
+already trained.
+
+It is not. The two bodies score the same intent mean to one decimal. Stock is
+one point ahead on destination, which is a third of one case. Nothing here argues
+for keeping the warm-start step. Dropping it removes a dependency on a corpus
+pull that `datasets` 5.0 cannot do.
+
+## What the head gets wrong is the floor
+
+All seven destination misses at seed 0 are the floor and calendar:
+
+```
+  (floor)    3/7
+  calendar   3/6
+  recall    15/15
+  world      5/5
+```
+
+The head names a destination where the fixture says walk the chain, and it is
+confident doing it. `"почему сервер тормозит"` reads `world` at 0.80.
+`"хватает ли места под новые бэкапы"` reads `network` at 0.82. Those are the six
+homelab cases V-659 flagged, where `SourceRecall`, `SourceNetwork` and
+`SourceAttention` all overlap because `mavpoll` writes its observations into the
+fact store recall reads.
+
+The training floor is generated ambiguous questions. The fixture floor is
+homelab operations. Those are not the same distribution and the head learned the
+one it was given.
+
+## Max softmax separates, weakly, and the gate stays
+
+The plan argues max softmax is a calibratable confidence where `Confidence: 1.0`
+was a hardcode. Measured on the intent head:
+
+| | n | mean confidence |
+|---|---|---|
+| correct | 80 | 0.897 |
+| wrong | 8 | 0.705 |
+| `want_clarify` | 8 | 0.685 |
+
+The softest correct answer is 0.66 and 3 of 8 clarify cases sit below it. So a
+single cut buys three clarifies at no false-clarify cost, and no more.
+
+The other five explain themselves. `"напомни"` scores 0.94 as `reminder` and
+`"сделай это"` scores 0.80 as `act`. Both are intent-certain and slot-empty, and
+confidence was never the signal there. `gateLLMDecision` already catches exactly
+that shape, an act with no allowlisted fn or a keyless fact, and it keeps doing
+so. The head replaces the hardcode. It does not replace the gate.
+
+## An incident worth recording
+
+The first generation run produced zero rows for eight destinations. `mavgpud`
+yields the card when another process wants it (V-488) and llama-server answers
+503 until the model is back. Every generate call inside that window burned one of
+the destination's batches. The run walked its own cap without a single successful
+call. The log said `503` 260 times, and the summary line said 64.1% keep rate,
+which read as success.
+
+`call()` now retries a 503 with backoff. A generator that treats an unloaded
+model as a bad generation is a silent-corpus bug, not a slow one.
+
+## What this does not measure
+
+**Nothing here runs in Go.** The heads are a `heads.pt` and an
+`out/body_heads/` on workpc. Reaching the daemon needs an ONNX export and a
+caller. The resident e5-small must not be replaced by this copy: recall depends
+on that file, and `EmbedQuery`/`EmbedPassage` are its contract.
+
+The destination fixture carries 4 of 13 classes: recall 15, floor 7, calendar 6,
+world 5. `tasks`, `money`, `list`, `home`, `network`, `feeds`, `attention` and
+`self` have no gold case. So 78.8% is silent on eight destinations that together
+hold 800 training rows.
+
+Latency was not measured. A forward pass of a 118M encoder should beat a 1.7B
+decoder on a query turn. That is arithmetic, not a number from this box.

internal/router/dumpprompt_test.go

@@ -0,0 +1,22 @@
+package router
+
+import (
+	"os"
+	"testing"
+)
+
+// TestDumpPrompt writes the router prompt and grammar to disk so the training
+// workspace labels with the daemon's own contract rather than a retyped copy.
+// It is inert unless MAVEN_DUMP_PROMPT names a directory.
+func TestDumpPrompt(t *testing.T) {
+	dir := os.Getenv("MAVEN_DUMP_PROMPT")
+	if dir == "" {
+		t.Skip("MAVEN_DUMP_PROMPT unset")
+	}
+	if err := os.WriteFile(dir+"/route_system.txt", []byte(routeSystem), 0o644); err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(dir+"/route_grammar.gbnf", []byte(routeGrammar), 0o644); err != nil {
+		t.Fatal(err)
+	}
+}

internal/router/eval/eval.go

@@ -36,17 +36,27 @@ var fixtureJSON []byte
 //
 // Intent is empty exactly when WantClarify is set: the contract there is that
 // the router refuses instead of guessing.
+//
+// WantSource is a pointer because the destination has three states and a bare
+// string only has two (V-659). Absent means the case does not score a
+// destination at all, which is every intent but query: a fact, a reminder, a
+// note, an act, a chat or a system turn never reaches queryWalk. Present and
+// empty is the SourceUnknown contract — the decider must name nothing and let
+// the daemon walk the whole chain, which is the right answer whenever two
+// destinations can both answer and the utterance does not choose. Present and
+// named is a destination the route must produce.
 type Case struct {
-	ID          string        `json:"id"`
-	Utterance   string        `json:"utterance"`
-	Lang        string        `json:"lang"`
-	Intent      router.Intent `json:"intent"`
-	WantTime    bool          `json:"want_time"`
-	WantFn      bool          `json:"want_fn"`
-	WantFactKey string        `json:"want_fact_key"`
-	WantClarify bool          `json:"want_clarify"`
-	Tags        []string      `json:"tags"`
-	Note        string        `json:"note"`
+	ID          string         `json:"id"`
+	Utterance   string         `json:"utterance"`
+	Lang        string         `json:"lang"`
+	Intent      router.Intent  `json:"intent"`
+	WantTime    bool           `json:"want_time"`
+	WantFn      bool           `json:"want_fn"`
+	WantFactKey string         `json:"want_fact_key"`
+	WantClarify bool           `json:"want_clarify"`
+	WantSource  *router.Source `json:"want_source,omitempty"`
+	Tags        []string       `json:"tags"`
+	Note        string         `json:"note"`
 }
 
 // Fixture — the versioned envelope, same shape as
@@ -118,6 +128,11 @@ type Outcome struct {
 	// (a slot gap is a parser fix; a wrong intent is a router fix).
 	IntentOK bool
 	Reasons  []string
+	// SourceReason is set when the case labelled a destination and the route
+	// named a different one. It is kept out of Reasons on purpose: the
+	// destination is the second half of a route and it is scored separately,
+	// so a wrong destination must not move the intent number (V-659).
+	SourceReason string
 }
 
 // Report — the aggregate. Accuracy is the headline; the rest exists so a
@@ -139,7 +154,15 @@ type Report struct {
 	// (reminder grammar → applyAction's time parser). Not a miss, but not a
 	// full router-level win either; tracked so the two aren't conflated.
 	SlotsDeferred int
-	Outcomes      []Outcome
+	// SourceTotal counts the cases carrying a want_source, and SourceHit the
+	// ones whose route named it. Reported apart from Passed because intent and
+	// destination are two decisions, and one number hides which one moved.
+	SourceTotal int
+	SourceHit   int
+	// SourceConfusion counts want→got destination pairs. "" reads as the
+	// SourceUnknown floor on either side.
+	SourceConfusion map[string]int
+	Outcomes        []Outcome
 	// Confusion counts want→got intent pairs, decided cases only.
 	Confusion map[string]int
 	// ByTag accuracy for the fixture's tags ("hard", "homelab", …).
@@ -172,6 +195,17 @@ func (r Report) IntentAccuracy() float64 {
 	return float64(r.IntentHit) / float64(r.Total)
 }
 
+// SourceAccuracy — fraction of the labelled cases whose route named the right
+// destination. Denominator is SourceTotal and not Total, because most of the
+// fixture never reaches a query source and scoring those would report a
+// percentage of nothing.
+func (r Report) SourceAccuracy() float64 {
+	if r.SourceTotal == 0 {
+		return 0
+	}
+	return float64(r.SourceHit) / float64(r.SourceTotal)
+}
+
 // Score runs every case through r and aggregates. It never fails the run on a
 // route error — an erroring case scores as a miss and is counted in Errors,
 // because "the model was down" and "the model was wrong" are different numbers
@@ -186,11 +220,12 @@ func Score(ctx context.Context, name string, r Router, f Fixture) (Report, error
 		return Report{}, err
 	}
 	rep := Report{
-		Name:      name,
-		Total:     len(f.Cases),
-		Confusion: map[string]int{},
-		ByTag:     map[string]TagStat{},
-		ByLang:    map[string]TagStat{},
+		Name:            name,
+		Total:           len(f.Cases),
+		Confusion:       map[string]int{},
+		SourceConfusion: map[string]int{},
+		ByTag:           map[string]TagStat{},
+		ByLang:          map[string]TagStat{},
 	}
 	lat := make([]time.Duration, 0, len(f.Cases))
 
@@ -242,6 +277,29 @@ func Score(ctx context.Context, name string, r Router, f Fixture) (Report, error
 			}
 		}
 
+		// The destination is scored outside the switch and outside Pass. A case
+		// that clarified or landed the wrong intent named no destination, and
+		// that is a real miss rather than a case to skip — otherwise the
+		// denominator quietly drops every turn the route already lost. Only a
+		// route error is skipped, because "the model was down" is the Errors
+		// number and not a destination result.
+		if c.WantSource != nil && err == nil {
+			rep.SourceTotal++
+			switch {
+			case !o.IntentOK:
+				// The route never got to a destination, so a match on the
+				// SourceUnknown floor here would be a coincidence scored as a
+				// win: a clarify names nothing and would satisfy "" for free.
+				o.SourceReason = fmt.Sprintf("no destination, route missed %q", c.Intent)
+				rep.SourceConfusion[string(*c.WantSource)+"→(no route)"]++
+			case d.Source == *c.WantSource:
+				rep.SourceHit++
+			default:
+				rep.SourceConfusion[string(*c.WantSource)+"→"+string(d.Source)]++
+				o.SourceReason = fmt.Sprintf("source %q, want %q", d.Source, *c.WantSource)
+			}
+		}
+
 		o.Pass = len(o.Reasons) == 0
 		if o.Pass {
 			rep.Passed++
@@ -298,25 +356,40 @@ func (r Report) String() string {
 		r.Name, r.Passed, r.Total, 100*r.Accuracy(), 100*r.IntentAccuracy())
 	fmt.Fprintf(&b, "  clarify: %d false (asked, shouldn't) / %d missed (guessed, shouldn't) | errors: %d | slots deferred to daemon: %d\n",
 		r.FalseClarify, r.MissedClarify, r.Errors, r.SlotsDeferred)
+	if r.SourceTotal > 0 {
+		fmt.Fprintf(&b, "  destination: %d/%d labelled cases (%.1f%%)\n",
+			r.SourceHit, r.SourceTotal, 100*r.SourceAccuracy())
+	}
 	fmt.Fprintf(&b, "  latency: p50 %s  p95 %s  max %s\n", r.P50, r.P95, r.Max)
 	fmt.Fprintf(&b, "  by lang: %s\n", renderStats(r.ByLang))
 	fmt.Fprintf(&b, "  by tag:  %s\n", renderStats(r.ByTag))
 	if len(r.Confusion) > 0 {
 		fmt.Fprintf(&b, "  confusion: %s\n", renderCounts(r.Confusion))
 	}
+	if len(r.SourceConfusion) > 0 {
+		fmt.Fprintf(&b, "  destination confusion: %s\n", renderCounts(r.SourceConfusion))
+	}
 	return b.String()
 }
 
-// Failures — the per-case detail, sorted by ID so two runs diff cleanly.
+// Failures — the per-case detail, sorted by ID so two runs diff cleanly. A case
+// that landed its intent and missed its destination is listed too, marked, so
+// the half that moved is readable without diffing two percentages.
 func (r Report) Failures() string {
 	var b strings.Builder
 	out := append([]Outcome(nil), r.Outcomes...)
 	sort.Slice(out, func(i, j int) bool { return out[i].Case.ID < out[j].Case.ID })
 	for _, o := range out {
-		if o.Pass {
-			continue
+		switch {
+		case !o.Pass:
+			reasons := o.Reasons
+			if o.SourceReason != "" {
+				reasons = append(append([]string(nil), reasons...), o.SourceReason)
+			}
+			fmt.Fprintf(&b, "  %s %q: %s\n", o.Case.ID, o.Case.Utterance, strings.Join(reasons, "; "))
+		case o.SourceReason != "":
+			fmt.Fprintf(&b, "  %s %q: route ok, %s\n", o.Case.ID, o.Case.Utterance, o.SourceReason)
 		}
-		fmt.Fprintf(&b, "  %s %q: %s\n", o.Case.ID, o.Case.Utterance, strings.Join(o.Reasons, "; "))
 	}
 	return b.String()
 }

internal/router/eval/eval_test.go

@@ -266,6 +266,11 @@ func baselineGrammars(acts router.ActMatcher) []router.Grammar {
 	// Same order as buildRouter (voicewire.go). The fixture is only worth
 	// anything while its grammar set is the daemon's grammar set.
 	grammars = append(grammars, router.AgendaQueryGrammars()...)
+	// After the agenda rules and before the feed and list rules, same as
+	// voicewire.go: "что такое лента" is a definition question and the feed
+	// rule would claim it on the noun alone (V-655). Missing here until V-659,
+	// so the fixture was scoring a grammar set the daemon does not run.
+	grammars = append(grammars, router.WorldQueryGrammars()...)
 	grammars = append(grammars, router.FeedQueryGrammar())
 	// The list side of the same exposure: a phrasing with no possessive in it
 	// ("список дел") routed system and never reached queryTasks (Vikunja #467).

internal/router/eval/ru_routing_v1.json

@@ -6,37 +6,41 @@
     "Held-out routing contract. Every utterance here is absent from models/seeds/*.txt (TestFixtureIsHeldOut enforces it verbatim) — scoring a classifier on its own seed phrases measures memorisation, not routing.",
     "This is a CONTRACT, not a snapshot of current behaviour. Cases the classifier cascade fails today are expected to stay in the file and fail loudly; that failure count is the number Vikunja #319 compares against the LLM router before #320 flips the default.",
     "Slot expectations are deployment-independent on purpose. want_fn is a boolean (the act must resolve to SOME allowlisted fn) because the allowlist lives in deploy config, not here. want_fact_key names the loop's rule keys (water/meal/sleep/break/shower) — a fact that lands under the wrong key silently starves the predicate that reads it.",
-    "want_clarify cases carry intent \"\": the contract is that the router refuses rather than guesses. A confident answer there is a worse failure than a miss."
+    "want_clarify cases carry intent \"\": the contract is that the router refuses rather than guesses. A confident answer there is a worse failure than a miss.",
+    "want_source is the second half of a route (V-655). It is present only on query cases, because no other intent reaches queryWalk, and absent there means absent rather than SourceUnknown. Empty is a label and not a gap: it asserts that the decider must name nothing and let the daemon walk the whole chain in order, his data first.",
+    "Seven cases assert that floor and six of them are homelab operations. They cluster because SourceRecall, SourceNetwork and SourceAttention overlap on every question about the box: mavpoll writes its observations into the fact store recall reads. That is a finding about the enum, not a gap in the labelling.",
+    "ru-query-020 and ru-query-024 are the same utterance, as are ru-query-021 and ru-query-025. Both pairs differ in tags and note only, so both pairs are counted twice in every number this fixture reports.",
+    "Every want_source is the destination that SHOULD claim the turn, which on ru-query-026 through 030 is not the one that did. Those five were observed failing on the box on 2026-08-07 (docs/evals/2026-08-07-week-of-usage.md). A fixture that passes on the day it is written measures nothing."
   ],
   "cases": [
-    { "id": "ru-query-001", "utterance": "сколько воды я выпил с утра", "lang": "ru", "intent": "query", "tags": ["aggregate"] },
-    { "id": "ru-query-002", "utterance": "я сегодня вообще пил воду", "lang": "ru", "intent": "query", "tags": ["hard", "fact-shaped"], "note": "past-tense fact lexicon in a question — the classifier's fact centroid pulls this hard" },
-    { "id": "ru-query-003", "utterance": "во сколько я лёг вчера", "lang": "ru", "intent": "query", "tags": ["temporal"] },
-    { "id": "ru-query-004", "utterance": "давно я не тренировался", "lang": "ru", "intent": "query", "tags": ["hard", "no-question-word"] },
-    { "id": "ru-query-005", "utterance": "напоминания на завтра есть", "lang": "ru", "intent": "query", "tags": ["hard", "reminder-shaped"], "note": "asks about reminders, does not create one" },
-    { "id": "ru-query-006", "utterance": "что я записывал про кота", "lang": "ru", "intent": "query", "tags": ["recall"] },
-    { "id": "ru-query-007", "utterance": "сколько раз я ел вчера", "lang": "ru", "intent": "query", "tags": ["aggregate", "hard"] },
-    { "id": "ru-query-008", "utterance": "мой вес за последний месяц", "lang": "ru", "intent": "query", "tags": ["no-verb"] },
-    { "id": "ru-query-009", "utterance": "когда я в последний раз принимал витамины", "lang": "ru", "intent": "query", "tags": ["temporal"] },
-    { "id": "ru-query-010", "utterance": "есть новости по бэкапу базы", "lang": "ru", "intent": "query", "tags": ["homelab"] },
-    { "id": "ru-query-011", "utterance": "почему сервер тормозит", "lang": "ru", "intent": "query", "tags": ["homelab", "hard"], "note": "diagnostic question, not a chat opener" },
-    { "id": "ru-query-012", "utterance": "какие заметки я оставил про полив", "lang": "ru", "intent": "query", "tags": ["recall"] },
-    { "id": "ru-query-013", "utterance": "во сколько у меня встреча", "lang": "ru", "intent": "query", "tags": ["calendar"] },
-    { "id": "ru-query-019", "utterance": "что у меня стоит в календаре на послезавтра", "lang": "ru", "intent": "query", "tags": ["calendar", "hard"], "note": "agenda, not the clock: the daemon answers this from CalendarEvents inside the query branch, so the clock/date system rule must not swallow it" },
-    { "id": "ru-query-022", "utterance": "какие планы на завтра?", "lang": "ru", "intent": "query", "tags": ["calendar"], "note": "the same agenda question as ru-query-019 aimed at another day; it answered \u043f\u043e\u043a\u0430 \u043d\u0435 \u0443\u043c\u0435\u044e on the deployed daemon while the today form worked (Vikunja #471)" },
-    { "id": "ru-query-023", "utterance": "\u043a\u043e\u0433\u0434\u0430 \u043f\u043b\u0430\u043d\u0451\u0440\u043a\u0430?", "lang": "ru", "intent": "query", "tags": ["calendar", "hard"], "note": "a named event with no calendar word — the noun is the only signal that this is a question about his day" },
-    { "id": "ru-query-024", "utterance": "что дальше?", "lang": "ru", "intent": "query", "tags": ["calendar", "no-question-word"], "note": "the rest of the day, with no possessive and no plan word to anchor on; the model called it a fact and the write had to be caught downstream (Vikunja #498)" },
-    { "id": "ru-query-025", "utterance": "расскажи про битву при Ватерлоо", "lang": "ru", "intent": "query", "tags": ["world", "no-question-word"], "note": "a narrative request carries no question mark and no interrogative, so it routed fact; contrast ru-chat-003, where the same verb asks for a joke" },
-    { "id": "ru-query-014", "utterance": "я успеваю до дедлайна", "lang": "ru", "intent": "query", "tags": ["hard", "no-question-word"] },
-    { "id": "ru-query-015", "utterance": "сколько я прошёл шагов", "lang": "ru", "intent": "query", "tags": ["aggregate"] },
-    { "id": "ru-query-016", "utterance": "покажи давление за неделю", "lang": "ru", "intent": "query", "tags": ["hard", "imperative"], "note": "imperative form but a read — must not route to act" },
-    { "id": "ru-query-017", "utterance": "чем я занимался в среду", "lang": "ru", "intent": "query", "tags": ["hard", "chat-shaped"] },
-    { "id": "ru-query-018", "utterance": "хватает ли места под новые бэкапы", "lang": "ru", "intent": "query", "tags": ["homelab"] },
-    { "id": "ru-query-020", "utterance": "что дальше?", "lang": "ru", "intent": "query", "tags": ["agenda", "hard"], "note": "the rest of the day, with no interrogative the model can read as a question — it routed fact until a stage 0 rule claimed it (V-498)" },
-    { "id": "ru-query-021", "utterance": "расскажи про битву при Ватерлоо", "lang": "ru", "intent": "query", "tags": ["world", "hard"], "note": "a world question phrased as an instruction. It routed fact, and the fact gate had to catch the write (V-498)" },
-    { "id": "en-query-001", "utterance": "did I take my vitamins today", "lang": "en", "intent": "query", "tags": ["fact-shaped"] },
-    { "id": "en-query-002", "utterance": "how long since the last backup finished", "lang": "en", "intent": "query", "tags": ["temporal"] },
-    { "id": "en-query-003", "utterance": "show me this week's weight", "lang": "en", "intent": "query", "tags": ["imperative"] },
+    { "id": "ru-query-001", "utterance": "сколько воды я выпил с утра", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["aggregate"] },
+    { "id": "ru-query-002", "utterance": "я сегодня вообще пил воду", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["hard", "fact-shaped"], "note": "past-tense fact lexicon in a question — the classifier's fact centroid pulls this hard" },
+    { "id": "ru-query-003", "utterance": "во сколько я лёг вчера", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["temporal"] },
+    { "id": "ru-query-004", "utterance": "давно я не тренировался", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["hard", "no-question-word"] },
+    { "id": "ru-query-005", "utterance": "напоминания на завтра есть", "lang": "ru", "intent": "query", "want_source": "", "tags": ["hard", "reminder-shaped"], "note": "asks about reminders, does not create one. want_source is the floor on purpose: no query source reads the reminder store, and day-plan is SourceCalendar over a table this box does not write." },
+    { "id": "ru-query-006", "utterance": "что я записывал про кота", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["recall"] },
+    { "id": "ru-query-007", "utterance": "сколько раз я ел вчера", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["aggregate", "hard"] },
+    { "id": "ru-query-008", "utterance": "мой вес за последний месяц", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["no-verb"] },
+    { "id": "ru-query-009", "utterance": "когда я в последний раз принимал витамины", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["temporal"] },
+    { "id": "ru-query-010", "utterance": "есть новости по бэкапу базы", "lang": "ru", "intent": "query", "want_source": "", "tags": ["homelab"], "note": "recall, attention and network can each answer it, because mavpoll writes its netdata and uptime-kuma observations into the fact store recall reads. Naming one takes the other two off the turn." },
+    { "id": "ru-query-011", "utterance": "почему сервер тормозит", "lang": "ru", "intent": "query", "want_source": "", "tags": ["homelab", "hard"], "note": "diagnostic question, not a chat opener. network holds the box and attention holds the alarm about the box. The utterance does not choose, so neither does the label." },
+    { "id": "ru-query-012", "utterance": "какие заметки я оставил про полив", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["recall"] },
+    { "id": "ru-query-013", "utterance": "во сколько у меня встреча", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["calendar"] },
+    { "id": "ru-query-019", "utterance": "что у меня стоит в календаре на послезавтра", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["calendar", "hard"], "note": "agenda, not the clock: the daemon answers this from CalendarEvents inside the query branch, so the clock/date system rule must not swallow it" },
+    { "id": "ru-query-022", "utterance": "какие планы на завтра?", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["calendar"], "note": "the same agenda question as ru-query-019 aimed at another day; it answered \u043f\u043e\u043a\u0430 \u043d\u0435 \u0443\u043c\u0435\u044e on the deployed daemon while the today form worked (Vikunja #471)" },
+    { "id": "ru-query-023", "utterance": "\u043a\u043e\u0433\u0434\u0430 \u043f\u043b\u0430\u043d\u0451\u0440\u043a\u0430?", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["calendar", "hard"], "note": "a named event with no calendar word — the noun is the only signal that this is a question about his day" },
+    { "id": "ru-query-024", "utterance": "что дальше?", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["calendar", "no-question-word"], "note": "the rest of the day, with no possessive and no plan word to anchor on; the model called it a fact and the write had to be caught downstream (Vikunja #498)" },
+    { "id": "ru-query-025", "utterance": "расскажи про битву при Ватерлоо", "lang": "ru", "intent": "query", "want_source": "world", "tags": ["world", "no-question-word"], "note": "a narrative request carries no question mark and no interrogative, so it routed fact; contrast ru-chat-003, where the same verb asks for a joke" },
+    { "id": "ru-query-014", "utterance": "я успеваю до дедлайна", "lang": "ru", "intent": "query", "want_source": "", "tags": ["hard", "no-question-word"], "note": "a deadline lives in the task list, the calendar or Praxis depending on where he put it. The destination depends on his data, not on his words." },
+    { "id": "ru-query-015", "utterance": "сколько я прошёл шагов", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["aggregate"] },
+    { "id": "ru-query-016", "utterance": "покажи давление за неделю", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["hard", "imperative"], "note": "imperative form but a read — must not route to act" },
+    { "id": "ru-query-017", "utterance": "чем я занимался в среду", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["hard", "chat-shaped"] },
+    { "id": "ru-query-018", "utterance": "хватает ли места под новые бэкапы", "lang": "ru", "intent": "query", "want_source": "", "tags": ["homelab"], "note": "disk headroom. network is the only source that reads the box, but the phrasing is a capacity question and not a LAN one." },
+    { "id": "ru-query-020", "utterance": "что дальше?", "lang": "ru", "intent": "query", "want_source": "calendar", "tags": ["agenda", "hard"], "note": "the rest of the day, with no interrogative the model can read as a question — it routed fact until a stage 0 rule claimed it (V-498)" },
+    { "id": "ru-query-021", "utterance": "расскажи про битву при Ватерлоо", "lang": "ru", "intent": "query", "want_source": "world", "tags": ["world", "hard"], "note": "a world question phrased as an instruction. It routed fact, and the fact gate had to catch the write (V-498)" },
+    { "id": "en-query-001", "utterance": "did I take my vitamins today", "lang": "en", "intent": "query", "want_source": "recall", "tags": ["fact-shaped"] },
+    { "id": "en-query-002", "utterance": "how long since the last backup finished", "lang": "en", "intent": "query", "want_source": "", "tags": ["temporal"], "note": "the completion time is a fact the poller wrote, so recall answers it. A person asking this wants the operational answer. Both are true." },
+    { "id": "en-query-003", "utterance": "show me this week's weight", "lang": "en", "intent": "query", "want_source": "recall", "tags": ["imperative"] },
 
     { "id": "ru-fact-001", "utterance": "только что выпил кружку воды", "lang": "ru", "intent": "fact", "want_fact_key": "water" },
     { "id": "ru-fact-002", "utterance": "воды попил наконец", "lang": "ru", "intent": "fact", "want_fact_key": "water", "tags": ["inverted"] },
@@ -106,6 +110,11 @@
     { "id": "amb-005", "utterance": "потом", "lang": "ru", "want_clarify": true, "tags": ["ambiguous", "filler"] },
     { "id": "amb-006", "utterance": "the thing from earlier", "lang": "en", "want_clarify": true, "tags": ["ambiguous", "anaphora"] },
     { "id": "amb-007", "utterance": "напомни", "lang": "ru", "want_clarify": true, "tags": ["ambiguous", "reminder"], "note": "the reminder verb and nothing else — she knows the shape of the request and not one thing about it. Answered 'не получилось разобрать время напоминания' on the box until V-548: the subjectless-reminder gate tested Slots.Text == \"\", and fillSlots had put the verb in that slot" },
-    { "id": "amb-008", "utterance": "ну напомни же", "lang": "ru", "want_clarify": true, "tags": ["ambiguous", "reminder", "filler"], "note": "the same request wrapped in particles, which is why filler_particles is a lexicon set — without it the particles read as the subject" }
+    { "id": "amb-008", "utterance": "ну напомни же", "lang": "ru", "want_clarify": true, "tags": ["ambiguous", "reminder", "filler"], "note": "the same request wrapped in particles, which is why filler_particles is a lexicon set — without it the particles read as the subject" },
+    { "id": "ru-query-026", "utterance": "что такое TCP?", "lang": "ru", "intent": "query", "want_source": "world", "tags": ["world", "regression"], "note": "weather claimed it on 2026-08-07 and answered \"для какого города?\", because it read one percent closer than the leftover seeds. WorldQueryGrammars claims it at stage 0 now." },
+    { "id": "ru-query-027", "utterance": "сколько будет 17 на 23?", "lang": "ru", "intent": "query", "want_source": "world", "tags": ["world", "arithmetic", "regression"], "note": "same source, same day, same answer about a city. Arithmetic is not a place." },
+    { "id": "ru-query-028", "utterance": "какой у меня любимый язык?", "lang": "ru", "intent": "query", "want_source": "recall", "tags": ["recall", "possessive", "regression"], "note": "the feed answered it with kernel headlines. \"у меня\" is the whole signal and it points inward." },
+    { "id": "ru-query-029", "utterance": "кто такой Линус Торвальдс?", "lang": "ru", "intent": "query", "want_source": "world", "tags": ["world", "person", "regression"], "note": "the personal boundary answered \"не нашла у тебя такой записи\". A named public person is not his data." },
+    { "id": "ru-query-030", "utterance": "что там с бэкапами?", "lang": "ru", "intent": "query", "want_source": "", "tags": ["homelab", "regression"], "note": "search claimed it, which inverts the boundary outward. The fix is the chain order and not a destination: recall, attention and network all answer it, same as ru-query-010." }
   ]
 }

internal/router/llmrouter.go

@@ -45,12 +45,19 @@ const routeGrammar = `
 root   ::= "[" ws action ("," ws action)* ws "]"
 action ::= "{" ws "\"intent\"" ws ":" ws intent ("," ws field)* ws "}"
 intent ::= "\"fact\"" | "\"reminder\"" | "\"note\"" | "\"query\"" | "\"act\"" | "\"chat\"" | "\"system\"" | "\"unknown\""
-field  ::= key ws ":" ws string
+field  ::= (key ws ":" ws string) | ("\"source\"" ws ":" ws source)
 key    ::= "\"key\"" | "\"value\"" | "\"text\"" | "\"verb\""
+source ::= "\"recall\"" | "\"calendar\"" | "\"tasks\"" | "\"list\"" | "\"money\"" | "\"weather\"" | "\"home\"" | "\"network\"" | "\"feeds\"" | "\"attention\"" | "\"self\"" | "\"world\"" | "\"\""
 string ::= "\"" ([^"\\\x00-\x1F] | "\\" ["\\/bfnrt] | "\\u" [0-9a-fA-F]{4}){0,120} "\""
 ws     ::= [ \t\n]{0,4}
 `
 
+// TestRouteGrammarCoversSources holds the source rule above to router.Sources.
+// The enum is the point: a grammar cannot emit a destination that does not
+// exist, which is the guarantee V-546 wants from a softmax and gets here for
+// free. Empty is the thirteenth alternative and it is not an oversight — it is
+// the SourceUnknown floor, and the model must be able to decline.
+
 // routeSystem — the router prompt. Changed 31-07-2026: the query test now sits
 // above the fact test and there is an explicit question test. Before that, a
 // question naming a fact key ("сколько воды я выпил с утра") matched the fact
@@ -121,6 +128,31 @@ const routeSystem = `Классифицируй ровно одно сообще
 "что такое кватернион?" → {"intent":"query","text":"что такое кватернион"}
 "ага" → {"intent":"chat","text":"ага"}
 
+Только для query добавь поле source — где лежит ответ:
+- recall — его заметки, факты и то, что он раньше говорил
+- calendar — встречи и события
+- tasks — список задач
+- list — списки покупок и другие именованные списки
+- money — траты
+- weather — погода
+- home — свет, устройства, дом
+- network — локальная сеть, сервер, диски
+- feeds — новостные ленты
+- attention — что требует внимания сейчас
+- self — вопрос про самого ассистента
+- world — всё остальное: определения, счёт, люди, факты о мире
+
+Пустое значение "" — нормальный ответ и его надо ставить часто. Ставь "", если ответ могут дать сразу два источника или если не уверен: тогда проверяются все по порядку, и это правильно. Никогда не угадывай.
+
+"сколько воды я выпил с утра" → {"intent":"query","text":"сколько воды я выпил с утра","source":"recall"}
+"что я записывал про кота" → {"intent":"query","text":"что я записывал про кота","source":"recall"}
+"во сколько у меня встреча" → {"intent":"query","text":"во сколько у меня встреча","source":"calendar"}
+"что такое docker?" → {"intent":"query","text":"что такое docker","source":"world"}
+"кто такой Линус Торвальдс?" → {"intent":"query","text":"кто такой Линус Торвальдс","source":"world"}
+"сколько будет 17 на 23?" → {"intent":"query","text":"сколько будет 17 на 23","source":"world"}
+"почему сервер тормозит" → {"intent":"query","text":"почему сервер тормозит","source":""}
+"есть новости по бэкапу базы" → {"intent":"query","text":"есть новости по бэкапу базы","source":""}
+
 Ответ — JSON-массив: по одному объекту на каждую просьбу. Обычно один. Если в реплике несколько просьб — по объекту на каждую. "напомни купить молоко, и запиши что кофе кончился" → [{"intent":"reminder","text":"купить молоко"},{"intent":"note","text":"кофе кончился"}]. Только JSON, без пояснений.`
 
 // routeRepeatPenalty — the sub-1B model loops one sentence inside the text field
@@ -172,6 +204,7 @@ type routeAction struct {
 	Value  string `json:"value"`
 	Text   string `json:"text"`
 	Verb   string `json:"verb"`
+	Source string `json:"source"`
 }
 
 // Route asks the model for one decision. The bool is false when there is no
@@ -240,6 +273,14 @@ func (lr *LLMRouter) Route(ctx context.Context, utterance string, now time.Time)
 	case IntentQuery:
 		d.Intent = IntentQuery
 		d.Slots.Text = firstNonEmpty(a.Text, utterance)
+		// Through ValidSource, and on query alone. The grammar already bounds
+		// the enum, but the grammar is a request to a server that may be
+		// running a different build, and a destination this binary does not
+		// know would take real query sources off the turn. Anything unknown
+		// drops to SourceUnknown, which is the floor and costs nothing.
+		if ValidSource(Source(a.Source)) {
+			d.Source = Source(a.Source)
+		}
 	case IntentAct:
 		d.Intent = IntentAct
 		d.Slots.Text = firstNonEmpty(a.Verb, utterance)

internal/router/llmrouter_test.go

@@ -398,3 +398,70 @@ func TestLLMReminderWithSubjectIsNotGated(t *testing.T) {
 		t.Fatalf("a complete reminder was sent back as a question: %+v", d.Slots)
 	}
 }
+
+// TestRouteGrammarCoversSources — the grammar enum and router.Sources are two
+// hand-written lists of the same twelve destinations, and nothing else notices
+// when one grows. A destination missing from the grammar is a destination the
+// model is structurally unable to name, which is the exact defect V-517
+// measured for Praxis: not a weak model, an absent string.
+func TestRouteGrammarCoversSources(t *testing.T) {
+	for _, s := range Sources {
+		if !strings.Contains(routeGrammar, `"\"`+string(s)+`\""`) {
+			t.Errorf("routeGrammar cannot emit %q — the model can never name it", s)
+		}
+	}
+	// The floor has to be reachable too, or the model is forced to pick one.
+	if !strings.Contains(routeGrammar, `"\"\""`) {
+		t.Error(`routeGrammar cannot emit "" — the model cannot decline a destination`)
+	}
+	// Count the alternatives on the source rule: an extra one is a destination
+	// the daemon would drop to SourceUnknown after the model spent tokens on it.
+	for _, line := range strings.Split(routeGrammar, "\n") {
+		if !strings.HasPrefix(line, "source ") {
+			continue
+		}
+		if got, want := strings.Count(line, "|")+1, len(Sources)+1; got != want {
+			t.Errorf("source rule has %d alternatives, want %d (Sources plus the floor)", got, want)
+		}
+	}
+}
+
+// The destination is read back only through ValidSource. A model on an older or
+// newer build can write a string this binary does not know, and trusting it
+// would take real query sources off the turn for a name nothing answers.
+func TestLLMUnknownSourceFallsToTheFloor(t *testing.T) {
+	r := newLLMTestRouter(t, `{"intent":"query","text":"что там с бэкапами","source":"praxis"}`)
+	d, err := r.Route(context.Background(), "что там с бэкапами", refNow())
+	if err != nil {
+		t.Fatalf("route: %v", err)
+	}
+	if d.Source != SourceUnknown {
+		t.Fatalf("invented destination %q was trusted, want the floor", d.Source)
+	}
+}
+
+// And a known one survives, or the read-back is just a filter.
+func TestLLMNamedSourceSurvives(t *testing.T) {
+	r := newLLMTestRouter(t, `{"intent":"query","text":"кто такой Линус Торвальдс","source":"world"}`)
+	d, err := r.Route(context.Background(), "кто такой Линус Торвальдс?", refNow())
+	if err != nil {
+		t.Fatalf("route: %v", err)
+	}
+	if d.Source != SourceWorld {
+		t.Fatalf("source %q, want %q", d.Source, SourceWorld)
+	}
+}
+
+// A destination on anything but a query is dropped. Only IntentQuery reaches
+// queryWalk, so a source elsewhere is a field nobody reads and a claim nobody
+// checks.
+func TestLLMSourceIsQueryOnly(t *testing.T) {
+	r := newLLMTestRouter(t, `{"intent":"note","text":"кофе кончился","source":"recall"}`)
+	d, err := r.Route(context.Background(), "запиши что кофе кончился", refNow())
+	if err != nil {
+		t.Fatalf("route: %v", err)
+	}
+	if d.Source != SourceUnknown {
+		t.Fatalf("a note carried destination %q", d.Source)
+	}
+}