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app/src/je_validation/console/catalog.py

@@ -19,6 +19,11 @@ from je_validation.generator import (
     je08,
     je09,
     je10,
+    je11,
+    je12,
+    je13,
+    je14,
+    je15,
 )
 from je_validation.generator.persist import spec_task_path
 
@@ -26,7 +31,8 @@ GENERATORS = {
     "JE-01": je01.generate, "JE-02": je02.generate, "JE-03": je03.generate,
     "JE-04": je04.generate, "JE-05": je05.generate, "JE-06": je06.generate,
     "JE-07": je07.generate, "JE-08": je08.generate, "JE-09": je09.generate,
-    "JE-10": je10.generate,
+    "JE-10": je10.generate, "JE-11": je11.generate, "JE-12": je12.generate,
+    "JE-13": je13.generate, "JE-14": je14.generate, "JE-15": je15.generate,
 }
 # The population knob is editable only for L1; L2 populations are spec-pinned
 # in the generators (JE-06/07/10 accept n_entries but the pinned default is
@@ -51,6 +57,12 @@ _L2_POPULATIONS: dict[str, int] = {
 # would otherwise compare it against this nominal value.
 POPULATION_SEED_VARIABLE: frozenset[str] = frozenset({"JE-10"})
 
+# L3 populations are spec-pinned like L2; all five generators fill to an
+# exact count, so none joins POPULATION_SEED_VARIABLE.
+_L3_POPULATIONS: dict[str, int] = {
+    "JE-11": 260, "JE-12": 320, "JE-13": 600, "JE-14": 240, "JE-15": 380,
+}
+
 # JE-01's spec scenario is "a batch of 400 posted journal entries"; at the
 # generic DEFAULT_KNOBS population (60) the generator can't find its required
 # 15 clean multi-line distractor entries (seed 1 yields only 14), so
@@ -62,7 +74,7 @@ _L1_POPULATIONS: dict[str, int] = {"JE-01": 400}
 def default_population(task_id: str) -> int:
     if task_id in POPULATION_EDITABLE:
         return _L1_POPULATIONS.get(task_id, int(DEFAULT_KNOBS["population"]))
-    return _L2_POPULATIONS[task_id]
+    return {**_L2_POPULATIONS, **_L3_POPULATIONS}[task_id]
 
 
 @cache

app/src/je_validation/console/runs.py

@@ -468,7 +468,7 @@ class RunManager:
             inst = read_public_instance(bundle_dir / "instance")
             ti = read_instance(bundle_dir)
 
-            if task["tier"] == "L2":
+            if task["tier"] in ("L2", "L3"):
                 n = len(ti.instance.entries)
                 knobs = {**req.knobs, "population": n}
                 if req.task_id not in default_catalog.POPULATION_SEED_VARIABLE:

app/src/je_validation/console/static/content/tasks.html

@@ -19,9 +19,9 @@
       <!-- example:JE-01 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.04 ± 0.02 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.03 ± 0.03 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je01">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je01-ds">View the full run →</a>
       </div>
       <!-- /example:JE-01 --></div>
     <div class="task-card"><h3><span class="je-id">JE-02</span> Coding validity
@@ -32,9 +32,9 @@
       <!-- example:JE-02 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 1.00 ± 0.00 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.84 ± 0.35 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.22</span>
-        <a class="ex-link" href="#console/run/c5-grid-je02">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je02-ds">View the full run →</a>
       </div>
       <!-- /example:JE-02 --></div>
     <div class="task-card"><h3><span class="je-id">JE-03</span> Period cut-off
@@ -44,9 +44,9 @@
       <!-- example:JE-03 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.21 ± 0.02 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.38 ± 0.35 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je03">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je03-ds">View the full run →</a>
       </div>
       <!-- /example:JE-03 --></div>
     <div class="task-card"><h3><span class="je-id">JE-04</span> Duplicate payments
@@ -56,9 +56,9 @@
       <!-- example:JE-04 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.10 ± 0.30 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.58 ± 0.53 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je04">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je04-ds">View the full run →</a>
       </div>
       <!-- /example:JE-04 --></div>
     <div class="task-card"><h3><span class="je-id">JE-05</span> Foreign currency
@@ -68,10 +68,9 @@
       <!-- example:JE-05 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.16 ± 0.02 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.34 ± 0.36 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.71 · no-evidence 0.18</span>
-        <span class="ex-fail">1 of 5 seeds auto-failed (fabrication)</span>
-        <a class="ex-link" href="#console/run/c5-grid-je05">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je05-ds">View the full run →</a>
       </div>
       <!-- /example:JE-05 --></div>
   </div>
@@ -89,9 +88,9 @@
       <!-- example:JE-06 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.83 ± 0.14 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.80 ± 0.14 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.76 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je06">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je06-ds">View the full run →</a>
       </div>
       <!-- /example:JE-06 --></div>
     <div class="task-card"><h3><span class="je-id">JE-07</span> Subledger reconciliation
@@ -101,9 +100,10 @@
       <!-- example:JE-07 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.17 ± 0.08 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.30 ± 0.08 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je07">View the full run →</a>
+        <span class="ex-fail">1 of 5 seeds auto-failed (fabrication)</span>
+        <a class="ex-link" href="#console/run/c7-je07-ds">View the full run →</a>
       </div>
       <!-- /example:JE-07 --></div>
     <div class="task-card"><h3><span class="je-id">JE-08</span> Accrual reversals
@@ -113,9 +113,9 @@
       <!-- example:JE-08 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.68 ± 0.08 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.80 ± 0.10 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.79 · no-evidence 0.00</span>
-        <a class="ex-link" href="#console/run/c5-grid-je08">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je08-ds">View the full run →</a>
       </div>
       <!-- /example:JE-08 --></div>
     <div class="task-card"><h3><span class="je-id">JE-09</span> Interfund transfers
@@ -125,9 +125,9 @@
       <!-- example:JE-09 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.59 ± 0.20 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.72 ± 0.14 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.63 · no-evidence 0.31</span>
-        <a class="ex-link" href="#console/run/c5-grid-je09">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je09-ds">View the full run →</a>
       </div>
       <!-- /example:JE-09 --></div>
     <div class="task-card"><h3><span class="je-id">JE-10</span> Budget integrity
@@ -137,39 +137,80 @@
       <!-- example:JE-10 -->
       <div class="example-run">
         <span class="ex-model">deepseek-v4-flash</span>
-        <span class="ex-score">final 0.91 ± 0.07 <small>(5 seeds)</small></span>
+        <span class="ex-score">final 0.73 ± 0.21 <small>(5 seeds)</small></span>
         <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.25</span>
         <span class="ex-fail">1 of 5 seeds auto-failed (fabrication)</span>
-        <a class="ex-link" href="#console/run/c5-grid-je10">View the full run →</a>
+        <a class="ex-link" href="#console/run/c7-je10-ds">View the full run →</a>
       </div>
       <!-- /example:JE-10 --></div>
   </div>
 
   <div class="tier-head tier-l3"><span class="tier-tag">L3</span><h2>Cross-document evidence</h2>
-    <span class="badge-roadmap">Roadmap</span></div>
+    <span class="badge-live">Live</span></div>
   <p class="section-intro">The answer isn't in the ledger alone — it takes
   assembling evidence across documents and master data.</p>
   <div class="task-grid">
     <div class="task-card"><h3><span class="je-id">JE-11</span> Split purchases
-      <span class="badge-roadmap">Roadmap</span></h3>
+      <span class="badge-live">Live</span></h3>
       <p>Purchases split into pieces to stay under approval limits — versus
-      legitimate installment payments. Tell them apart.</p></div>
+      legitimate installment payments. Tell them apart.</p>
+      <!-- example:JE-11 -->
+      <div class="example-run">
+        <span class="ex-model">deepseek-v4-flash</span>
+        <span class="ex-score">final 0.38 ± 0.24 <small>(5 seeds)</small></span>
+        <span class="ex-base">baselines: flag-everything −1.77 · no-evidence 0.14</span>
+        <span class="ex-fail">4 of 5 seeds auto-failed (fabrication)</span>
+        <a class="ex-link" href="#console/run/c7-je11-ds">View the full run →</a>
+      </div>
+      <!-- /example:JE-11 --></div>
     <div class="task-card"><h3><span class="je-id">JE-12</span> Posting behavior
-      <span class="badge-roadmap">Roadmap</span></h3>
+      <span class="badge-live">Live</span></h3>
       <p>Odd hours, unusual users, period-end clustering. Most such entries are
-      still legitimate — find the ones that aren't.</p></div>
+      still legitimate — find the ones that aren't.</p>
+      <!-- example:JE-12 -->
+      <div class="example-run">
+        <span class="ex-model">deepseek-v4-flash</span>
+        <span class="ex-score">final 0.76 ± 0.08 <small>(5 seeds)</small></span>
+        <span class="ex-base">baselines: flag-everything −1.80 · no-evidence 0.36</span>
+        <a class="ex-link" href="#console/run/c7-je12-ds">View the full run →</a>
+      </div>
+      <!-- /example:JE-12 --></div>
     <div class="task-card"><h3><span class="je-id">JE-13</span> Rare combinations
-      <span class="badge-roadmap">Roadmap</span></h3>
+      <span class="badge-live">Live</span></h3>
       <p>Every value is ordinary on its own; the combination is almost
-      unprecedented in the ledger. Spot it and say why it matters.</p></div>
+      unprecedented in the ledger. Spot it and say why it matters.</p>
+      <!-- example:JE-13 -->
+      <div class="example-run">
+        <span class="ex-model">deepseek-v4-flash</span>
+        <span class="ex-score">final 0.59 ± 0.16 <small>(5 seeds)</small></span>
+        <span class="ex-base">baselines: flag-everything −1.69 · no-evidence 0.00</span>
+        <a class="ex-link" href="#console/run/c7-je13-ds">View the full run →</a>
+      </div>
+      <!-- /example:JE-13 --></div>
     <div class="task-card"><h3><span class="je-id">JE-14</span> Vendor red flags
-      <span class="badge-roadmap">Roadmap</span></h3>
+      <span class="badge-live">Live</span></h3>
       <p>Fictitious-vendor and related-party traces that live in the vendor
-      master data, not in any single entry.</p></div>
+      master data, not in any single entry.</p>
+      <!-- example:JE-14 -->
+      <div class="example-run">
+        <span class="ex-model">deepseek-v4-flash</span>
+        <span class="ex-score">final 0.54 ± 0.04 <small>(5 seeds)</small></span>
+        <span class="ex-base">baselines: flag-everything −1.79 · no-evidence 0.29</span>
+        <a class="ex-link" href="#console/run/c7-je14-ds">View the full run →</a>
+      </div>
+      <!-- /example:JE-14 --></div>
     <div class="task-card"><h3><span class="je-id">JE-15</span> Population screening
-      <span class="badge-roadmap">Roadmap</span></h3>
+      <span class="badge-live">Live</span></h3>
       <p>Digit patterns and round-amount concentrations point the way in — the
-      deliverable is the specific entries worth an auditor's time.</p></div>
+      deliverable is the specific entries worth an auditor's time.</p>
+      <!-- example:JE-15 -->
+      <div class="example-run">
+        <span class="ex-model">deepseek-v4-flash</span>
+        <span class="ex-score">final 0.56 ± 0.25 <small>(5 seeds)</small></span>
+        <span class="ex-base">baselines: flag-everything −1.65 · no-evidence 0.18</span>
+        <a class="ex-link" href="#console/run/c7-je15-ds">View the full run →</a>
+      </div>
+      <!-- /example:JE-15 --></div>
   </div>
 
   <div class="tier-head tier-l4"><span class="tier-tag">L4</span><h2>Judgment calls</h2>

app/src/je_validation/envir/briefs.py

@@ -31,6 +31,12 @@ CLAIM_INSTRUCTIONS: dict[str, str] = {
               "available authority as [claim:available_cents=VALUE], computed "
               "as budget - (actual + open encumbrance); the value is negative "
               "when the account is over budget."),
+    "JE-11": ("When you flag entries as one split group, give every member "
+              "of that group the same [claim:split_group=N] token (N = any "
+              "integer label you choose, one label per group)."),
+    "JE-13": ("Rank your anomalies: give each flagged entry a "
+              "[claim:anomaly_rank=N] token, 1 = most anomalous. Unranked "
+              "flags count after ranked ones."),
 }
 
 # Per-task world-rules: instance-independent facts about how the world is
@@ -57,6 +63,24 @@ TASK_RULES: dict[str, str] = {
         "counterpart_entry_id on the disposition to that entry's id; a "
         "duplicate flag without the correct counterpart (an entry id you "
         "have actually seen in tool results) earns no outcome credit."),
+    "JE-11": (
+        "Delegated approval limits are published in the 'approval_limits' "
+        "policy. An instalment or progress-payment series is legitimate "
+        "only when a contract clause authorises it; contract documents are "
+        "attached to the entries they govern."),
+    "JE-12": (
+        "Business hours are 07:00-19:00. The period ends on the last "
+        "calendar day of the month. Automated interface accounts are "
+        "identified by the system_account field in the user master; their "
+        "batch postings are normal operation."),
+    "JE-13": (
+        "Entries carry a program code; entries sharing a program code "
+        "belong to an authorised program, and a new program legitimately "
+        "introduces attribute combinations with no ledger history."),
+    "JE-14": (
+        "The competitive-bid threshold is $50,000.00 per transaction. "
+        "Vendor onboarding is documented by procurement memos attached to "
+        "the payments of the round's vendors."),
 }
 
 # Per-task reporting requirements (c5): how findings must be REPRESENTED in
@@ -79,6 +103,15 @@ REPORTING_RULES: dict[str, str] = {
         "compared with the flagged entry); the master:obligation:... "
         "record key may also be cited as provenance, but it does not "
         "replace that field-value citation."),
+    "JE-15": (
+        "Reporting requirements: every department has one DEPARTMENT "
+        "SUMMARY row, id 'JE15-DEPT-<department>'. Report a "
+        "population-level digit-profile finding by flagging that summary "
+        "row (issue type digit_profile_deviation) and separately "
+        "disposition the specific entries driving the deviation (issue "
+        "type fabricated_amounts). A department whose distribution is "
+        "explained by a fee or rate schedule must be approved on its "
+        "summary row with the schedule document cited in evidence_ids."),
 }
 
 PROMPT_VERSIONS: tuple[str, ...] = ("minimal", "standard", "detailed")

app/src/je_validation/envir/instance.py

@@ -45,6 +45,7 @@ class Instance:
     documents: tuple[Document, ...]
     policies: dict[str, str]
     master_data: dict[str, dict]
+    info_responses: dict[str, str] = field(default_factory=dict)
 
 
 @dataclass(frozen=True)

app/src/je_validation/envir/issue_types.py

@@ -29,6 +29,13 @@ ISSUE_TYPES: dict[str, tuple[str, ...]] = {
     "JE-09": ("amount_mismatch", "timing", "unmatched", "wrong_counterparty"),
     "JE-10": ("budget_exceeded", "no_liquidation", "over_liquidation",
               "wrong_document"),
+    "JE-11": ("split_transaction", "threshold_hugging"),
+    "JE-12": ("after_hours", "novel_user", "role_violation"),
+    "JE-13": ("global_anomaly", "local_anomaly"),
+    "JE-14": ("bid_threshold_avoidance", "employee_address_match",
+              "name_similarity", "rapid_creation_payment",
+              "shared_bank_details"),
+    "JE-15": ("digit_profile_deviation", "fabricated_amounts"),
 }
 
 
@@ -140,6 +147,43 @@ ISSUE_TYPE_DEFINITIONS: dict[str, dict[str, str]] = {
         "over_liquidation": "liquidation exceeding the obligation balance",
         "wrong_document": "payment referencing the wrong obligating document",
     },
+    "JE-11": {
+        "split_transaction": "one obligation divided across multiple "
+                             "payments to stay under a delegated approval limit",
+        "threshold_hugging": "a single payment priced just under an "
+                             "approval limit with no supporting justification",
+    },
+    "JE-12": {
+        "after_hours": "a material manual entry posted outside business "
+                       "hours at period end",
+        "novel_user": "posted by a user with no prior activity in that account",
+        "role_violation": "posted by a user whose role does not permit "
+                          "that account",
+    },
+    "JE-13": {
+        "global_anomaly": "an attribute value that is rare outright in "
+                          "the ledger",
+        "local_anomaly": "an attribute combination that is jointly "
+                         "near-unique though each value is common",
+    },
+    "JE-14": {
+        "bid_threshold_avoidance": "payments priced just under the "
+                                   "competitive-bid threshold",
+        "employee_address_match": "vendor address matches an employee record",
+        "name_similarity": "vendor name is a near-duplicate of an "
+                           "established vendor",
+        "rapid_creation_payment": "vendor created and paid material "
+                                  "amounts within days",
+        "shared_bank_details": "vendor shares banking details with "
+                               "another vendor",
+    },
+    "JE-15": {
+        "digit_profile_deviation": "a subpopulation's amount digit "
+                                   "distribution departs materially from "
+                                   "expectation",
+        "fabricated_amounts": "an entry whose amount was fabricated, "
+                              "driving the digit-profile deviation",
+    },
 }
 
 

app/src/je_validation/envir/llm_agent.py

@@ -55,7 +55,7 @@ class OpenRouterAgent:
     def __init__(self, model: str, api_key: str, tools_enabled: Sequence[str], *,
                  token_ceiling: int | None,
                  base_url: str = "https://openrouter.ai/api/v1",
-                 max_tokens: int = 4096, max_retries: int = 3,
+                 max_tokens: int = 4096, max_retries: int = 6,
                  abort_check: Callable[[], str | None] | None = None,
                  on_usage: Callable[[float], None] | None = None,
                  issue_types: Sequence[str] | None = None,
@@ -140,7 +140,16 @@ class OpenRouterAgent:
         last: httpx.Response | None = None
         malformed_body: dict | None = None
         for attempt in range(self._max_retries + 1):
-            last = self._client.post("/chat/completions", json=payload)
+            try:
+                last = self._client.post("/chat/completions", json=payload)
+            except httpx.TransportError:
+                # dropped connection / read timeout / protocol error: the
+                # request is stateless, so re-posting is as safe as a 502
+                # retry. Out of retries -> let it escape to the run manager.
+                if attempt >= self._max_retries:
+                    raise
+                time.sleep(2.0 ** attempt)
+                continue
             if last.status_code == 402:
                 # OpenRouter's signal that this key hit its own credit limit:
                 # no retry can fix a dead key, so fail fast instead of
@@ -171,7 +180,14 @@ class OpenRouterAgent:
                 malformed_body = body
             if attempt < self._max_retries:
                 retry_after = last.headers.get("Retry-After")
-                time.sleep(float(retry_after) if retry_after else 2.0 ** attempt)
+                if retry_after:
+                    time.sleep(float(retry_after))
+                elif last.status_code == 429:
+                    # shared-pool 429s (e.g. qwen upstream) last minutes;
+                    # 10,20,40,80,160,160... rides out ~5 min of outage
+                    time.sleep(min(10.0 * 2.0 ** attempt, 160.0))
+                else:
+                    time.sleep(2.0 ** attempt)
         if malformed_body is not None:
             err = malformed_body.get("error")
             detail = (f"OpenRouter reply had no choices after retries: {err}"
@@ -218,6 +234,10 @@ class OpenRouterAgent:
 
     def _parse(self, reply: dict) -> ToolCall:
         msg = reply["choices"][0]["message"]
+        if msg.get("content") is None:
+            # some providers (Alibaba/qwen) emit content: null on empty
+            # replies, then 400 when that message is replayed back to them
+            msg["content"] = ""
         self._messages.append(msg)
         text = msg.get("content") or ""
         calls = msg.get("tool_calls") or []

app/src/je_validation/envir/tool_vocab.py

@@ -15,6 +15,8 @@ MASTER_DATA_TYPES: dict[str, tuple[str, ...]] = {
     "JE-04": ("vendor_aliases",),
     "JE-05": ("fx_rates", "vendor_currencies"),
     "JE-10": ("budget", "obligation"),
+    "JE-12": ("user",),
+    "JE-14": ("employee", "vendor"),
     "JE-TOY": ("vendor",),
 }
 

app/src/je_validation/envir/toolmodels.py

@@ -20,7 +20,7 @@ from __future__ import annotations
 
 from typing import Any, Literal
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, ConfigDict, Field, field_validator
 
 
 class _Closed(BaseModel):
@@ -47,7 +47,7 @@ class ListDocumentsArgs(_Closed):
 
 class OpenDocumentArgs(_Closed):
     doc_id: str
-    page: int | None = None
+    page: int | None = Field(None, ge=1)
 
 
 class GetPolicyArgs(_Closed):
@@ -64,10 +64,22 @@ class RecomputeArgs(_Closed):
 
 
 class AggregateArgs(_Closed):
-    group_by: str
-    metric: Literal["count", "sum"] = "count"
+    group_by: str | list[str]
+    metric: Literal["count", "sum", "first_digit"] = "count"
     filters: dict[str, Any] = Field(default_factory=dict)
 
+    @field_validator("group_by")
+    @classmethod
+    def _group_by_valid(cls, v):
+        if isinstance(v, list):
+            if not v:
+                raise ValueError("group_by list must not be empty")
+            if not all(isinstance(x, str) for x in v):
+                raise ValueError("group_by list entries must be strings")
+            if len(set(v)) != len(v):
+                raise ValueError("group_by list has duplicate fields")
+        return v
+
 
 class ComparePeriodArgs(BaseModel):
     # coerce_numbers_to_str: periods live as ints in headers and agents

app/src/je_validation/envir/tools.py

@@ -236,27 +236,41 @@ class ToolRegistry:
 
     def _aggregate(self, args):
         group_by = args.get("group_by")
-        if group_by not in self._fields:
-            raise self._unknown_field("group_by", str(group_by))
+        fields = [group_by] if isinstance(group_by, str) else list(group_by)
+        for f in fields:
+            if f not in self._fields:
+                raise self._unknown_field("group_by", str(f))
         metric = args.get("metric", "count")
-        if metric not in ("count", "sum"):
-            raise ToolError("aggregate: metric must be 'count' or 'sum'")
         filters = args.get("filters") or {}
         for k in ("order_by", "offset", "limit"):
             if k in filters:
                 raise ToolError(f"aggregate: '{k}' is not a filter; aggregate "
                                 "always runs over the full population")
-        if metric == "sum" and "amount" not in self._fields:
-            raise ToolError("aggregate: this ledger has no 'amount' field "
-                            "to sum")
+        if metric in ("sum", "first_digit") and "amount" not in self._fields:
+            raise ToolError("aggregate: this ledger has no 'amount' field")
         rows = self._select(filters)                      # uncapped
-        groups: dict[str, list] = {}
+        groups: dict[tuple, list] = {}
         for r in rows:
-            groups.setdefault(str(r.get(group_by, "all")), []).append(r)
-        return [{"group": g,
+            key = tuple(str(r.get(f, "all")) for f in fields)
+            groups.setdefault(key, []).append(r)
+
+        def label(key):
+            return key[0] if len(fields) == 1 else list(key)
+        if metric == "first_digit":
+            out = []
+            for key, rs in sorted(groups.items()):
+                counts = {str(d): 0 for d in range(1, 10)}
+                for r in rs:
+                    cents = round(abs(float(r.get("amount") or 0)) * 100)
+                    if cents:
+                        counts[str(cents)[0]] += 1
+                out.extend({"group": label(key), "digit": d, "count": n}
+                           for d, n in counts.items())
+            return out
+        return [{"group": label(key),
                  "value": len(rs) if metric == "count"
                  else sum(r.get("amount", 0) for r in rs)}
-                for g, rs in sorted(groups.items())]
+                for key, rs in sorted(groups.items())]
 
     def _compare_period(self, args):
         for needed in ("period", "amount"):
@@ -264,6 +278,10 @@ class ToolRegistry:
                 raise ToolError(f"compare_period: this ledger has no "
                                 f"'{needed}' field")
         account = args.get("account")
+        if account is not None and "account" in self._fields:
+            known = {str(e.header.get("account")) for e in self._inst.entries}
+            if str(account) not in known:
+                raise ToolError(f"unknown account: {account}")
         base = self._select({"account": account} if account is not None else {})
         periods = sorted({str(r.get("period")) for r in
                           (self._row(e) for e in self._inst.entries)})
@@ -278,9 +296,10 @@ class ToolRegistry:
         return {"period_a": a, "period_b": b, "delta": total(a) - total(b)}
 
     def _request_info(self, args):
-        if args.get("entry_id") not in self._entries:
-            raise ToolError(f"unknown entry: {args.get('entry_id')}")
-        return "UNAVAILABLE"
+        eid = args.get("entry_id")
+        if eid not in self._entries:
+            raise ToolError(f"unknown entry: {eid}")
+        return self._inst.info_responses.get(eid, "UNAVAILABLE")
 
     def _disposition(self, args):
         entry_id, verdict = args.get("entry_id"), args.get("verdict")

app/src/je_validation/envir/toolspecs.py

@@ -30,13 +30,14 @@ _DESCS: dict[str, str] = {
     "get_master_data": "Master-data record (chart of accounts, vendor, etc). "
                        "An unknown type is rejected with the list of tables.",
     "recompute": "Deterministic calculator over an arithmetic expression.",
-    "aggregate": "Population statistics grouped by a header field, over the "
-                 "FULL population (no row cap).",
-    "compare_period": "Total-amount delta between two periods, optionally "
-                      "restricted to one account.",
-    "request_info": "Ask the simulated preparer a question about an entry. "
-                    "The preparer is currently unavailable in this "
-                    "environment: every request returns UNAVAILABLE.",
+    "aggregate": "Population statistics over the full ledger: counts, sums, "
+                 "and first-digit profiles (metric='first_digit'), grouped "
+                 "by one field or a list of fields. Never row-capped.",
+    "compare_period": "Prior-period comparison of summed amounts; "
+                      "optionally narrowed to one account (unknown "
+                      "accounts error).",
+    "request_info": "Ask the simulated preparer about an entry. Answers "
+                    "may be UNAVAILABLE by design.",
     "disposition":
         "Terminal verdict for one entry. verdict in approve|flag|reject|"
         "insufficient_evidence. evidence_ids: ids of things you retrieved, "

app/src/je_validation/generator/docgen/contracts.py

@@ -0,0 +1,23 @@
+"""Contract documents (JE-11). Fields render verbatim (core invariant)."""
+from __future__ import annotations
+
+from je_validation.envir.instance import Document
+from je_validation.generator.docgen.core import build_doc, money
+
+
+def contract_doc(*, doc_id: str, entry_id: str, f: dict) -> Document:
+    body = [
+        "CONTRACT — PAYMENT SCHEDULE EXTRACT",
+        "",
+        f"Contract number : {f['contract_number']}",
+        f"Vendor          : {f['vendor']}",
+        f"Effective       : {f['start_date']}",
+        "",
+        f"Instalments     : {f['n_instalments']}",
+        f"Instalment amt  : {money(f['instalment_cents'])}",
+        "",
+        "AUTHORISATION CLAUSE",
+        f"{f['clause_text']}",
+    ]
+    return build_doc(doc_id=doc_id, entry_id=entry_id, doc_type="contract",
+                     filename=f"{f['contract_number']}.txt", body=body)

app/src/je_validation/generator/docgen/memos.py

@@ -0,0 +1,51 @@
+"""Procurement memo and fee/rate schedule documents (JE-11..15). Fields
+render verbatim (core invariant)."""
+from __future__ import annotations
+
+from je_validation.envir.instance import Document
+from je_validation.generator.docgen.core import build_doc, money
+
+
+def procurement_memo_doc(*, doc_id: str, entry_id: str, f: dict) -> Document:
+    body = [
+        "PROCUREMENT MEMO",
+        "",
+        f"Round      : {f['round_name']}",
+        f"Date       : {f['date']}",
+        f"Approver   : {f['approver']}",
+        "",
+        "VENDORS ONBOARDED",
+        *f["vendors"],
+    ]
+    return build_doc(doc_id=doc_id, entry_id=entry_id, doc_type="procurement_memo",
+                     filename=f"procurement_memo_{entry_id}.txt", body=body)
+
+
+def fee_schedule_doc(*, doc_id: str, entry_id: str, f: dict) -> Document:
+    body = [
+        "FEE SCHEDULE",
+        "",
+        f"Department          : {f['department']}",
+        f"Effective           : {f['effective']}",
+        f"Fixed fee per engagement : {money(f['fee_cents'])}",
+        "",
+        "BASIS",
+        f"{f['basis_text']}",
+    ]
+    return build_doc(doc_id=doc_id, entry_id=entry_id, doc_type="fee_schedule",
+                     filename=f"fee_schedule_{entry_id}.txt", body=body)
+
+
+def rate_schedule_doc(*, doc_id: str, entry_id: str, f: dict) -> Document:
+    body = [
+        "RATE SCHEDULE",
+        "",
+        f"Department  : {f['department']}",
+        f"Effective   : {f['effective']}",
+        f"Unit rate   : {money(f['unit_rate_cents'])} per {f['unit_name']}",
+        "",
+        "BASIS",
+        f"{f['basis_text']}",
+    ]
+    return build_doc(doc_id=doc_id, entry_id=entry_id, doc_type="rate_schedule",
+                     filename=f"rate_schedule_{entry_id}.txt", body=body)

app/src/je_validation/generator/je11.py

@@ -0,0 +1,131 @@
+"""JE-11: threshold-hugging and split transactions (L3, control circumvention).
+
+Defects and distractors are amount/vendor/date rewrites of real sliced
+entries — ids stay native, entries still foot (with_amount). Seeded split
+membership is recorded in HeldOut.claims (split_group), which the verifier
+matches against the agent's [claim:split_group=N] labels."""
+from __future__ import annotations
+
+import dataclasses
+from pathlib import Path
+
+from je_validation.envir.instance import DefectRecord, HeldOut, Instance, TaskInstance
+from je_validation.generator.docgen.contracts import contract_doc
+from je_validation.generator.l2common import augment, with_amount
+from je_validation.generator.persist import spec_task_path, write_instance
+from je_validation.generator.seeding import pick, rng_for
+from je_validation.generator.slicing import slice_entries
+
+TASK_ID = "JE-11"
+DEFECT_COUNTS = {"split_transaction": 18, "threshold_hugging": 3}
+SPLIT_SIZES = (2, 2, 3, 3, 4, 4)
+INSTALMENT_SIZES = (2, 3, 4, 2, 3, 4, 3, 3)
+N_NATURAL = 20
+LIMITS_CENTS = {"unit_head": 500_000, "director": 2_500_000,
+                "commissioner": 10_000_000}
+POLICIES = {"approval_limits": (
+    "Delegated approval limits, per transaction: unit head up to $5,000.00; "
+    "director up to $25,000.00; commissioner up to $100,000.00. A single "
+    "obligation may not be divided across multiple payments to bring each "
+    "under a delegated limit. Instalment and progress-payment arrangements "
+    "are permitted only when authorised by a contract clause.")}
+_MONTH = "2024-01"
+
+
+def _limit(rng):
+    return LIMITS_CENTS[pick(rng, sorted(LIMITS_CENTS), 1)[0]]
+
+
+def generate(seed: int, snapshot_root: Path, *, n_entries: int = 260,
+             out_dir: Path | None = None) -> TaskInstance:
+    n_special = sum(SPLIT_SIZES) + 3 + sum(INSTALMENT_SIZES) + N_NATURAL
+    raw = slice_entries(snapshot_root, task_id=TASK_ID, seed=seed,
+                        n_entries=n_entries)
+    entries = {e.entry_id: e for e in raw}
+    # eligible rewrite targets: unsigned entries (with_amount contract)
+    eligible = sorted(eid for eid, e in entries.items()
+                      if "signed_amount_cents" not in e.header)
+    if len(eligible) < n_special:
+        raise ValueError(f"only {len(eligible)} unsigned entries; "
+                         f"need {n_special}")
+    rng = rng_for(TASK_ID, seed, "defects")
+    order = iter(pick(rng, eligible, n_special))
+    defects, claims, docs = [], {}, []
+
+    for gi, size in enumerate(SPLIT_SIZES, 1):
+        members = [next(order) for _ in range(size)]
+        limit = _limit(rng)
+        vendor = entries[members[0]].header["vendor_id"]
+        base_day = rng.randint(2, 18)
+        for eid in members:
+            e = with_amount(entries[eid],
+                            int(limit * (0.88 + 0.09 * rng.random())))
+            day = min(base_day + rng.randint(0, 7), 28)
+            entries[eid] = dataclasses.replace(
+                e, header={**e.header, "vendor_id": vendor,
+                           "transaction_date": f"{_MONTH}-{day:02d}"})
+            defects.append(DefectRecord(eid, "split_transaction", None, "flag"))
+            claims[eid] = {"split_group": gi}
+
+    for _ in range(3):
+        eid = next(order)
+        entries[eid] = with_amount(entries[eid],
+                                   int(_limit(rng) * (0.990 + 0.009 * rng.random())))
+        defects.append(DefectRecord(eid, "threshold_hugging", None, "flag"))
+
+    for si, size in enumerate(INSTALMENT_SIZES, 1):
+        members = [next(order) for _ in range(size)]
+        limit = _limit(rng)
+        vendor = entries[members[0]].header["vendor_id"]
+        amount = int(limit * (0.85 + 0.10 * rng.random()))
+        for j, eid in enumerate(members, 1):
+            e = with_amount(entries[eid], amount)
+            entries[eid] = dataclasses.replace(
+                e, header={**e.header, "vendor_id": vendor})
+            docs.append(contract_doc(
+                doc_id=f"CTR-{si:02d}-{j}", entry_id=eid,
+                f={"vendor": str(vendor),
+                   "contract_number": f"CT-2023-{1000 + si}",
+                   "n_instalments": size, "instalment_cents": amount,
+                   "start_date": "2023-11-01",
+                   "clause_text": (
+                       f"Payment shall be made in {size} equal instalments "
+                       "upon milestone acceptance, as authorised under "
+                       "section 4.2 of this contract.")}))
+
+    for _ in range(N_NATURAL):
+        eid = next(order)
+        # cap at 98.5%: the hug band [0.99, 1.0) stays seeded-only (panel)
+        entries[eid] = with_amount(entries[eid],
+                                   int(_limit(rng) * (0.90 + 0.085 * rng.random())))
+
+    # Band guard (panel 2026-08-11): the hug band [0.99, 1.0) of any limit is
+    # reserved for seeded hugs. Untouched filler entries carry real DS-A
+    # amounts and can land there by chance; nudge any such entry down to 97%
+    # of that limit (still deep in the "natural near-limit" range, so it
+    # never becomes a giveaway shape of its own).
+    hug_ids = {d.entry_id for d in defects if d.defect_type == "threshold_hugging"}
+    contract_ids = {d.entry_id for d in docs}
+    for eid, e in list(entries.items()):
+        if eid in hug_ids or eid in contract_ids or "signed_amount_cents" in e.header:
+            continue
+        amt = e.header["total_debit_cents"]
+        for limit in LIMITS_CENTS.values():
+            if 0.99 * limit <= amt < limit:
+                entries[eid] = with_amount(e, int(limit * 0.97))
+                break
+
+    final = augment([entries[k] for k in sorted(entries)], period=7)
+    inst = Instance(task_id=TASK_ID, seed=seed, entries=tuple(final),
+                    documents=tuple(sorted(docs, key=lambda d: d.doc_id)),
+                    policies=dict(POLICIES), master_data={})
+    ho = HeldOut(defects=tuple(sorted(defects, key=lambda d: d.entry_id)),
+                 required_docs=frozenset(d.doc_id for d in docs),
+                 evidence_map={d.entry_id: frozenset({d.doc_id}) for d in docs},
+                 claims=claims)
+    ti = TaskInstance(inst, ho)
+    if out_dir is not None:
+        write_instance(ti, out_dir, task_spec_path=spec_task_path(TASK_ID),
+                       snapshot_id=snapshot_root.name,
+                       knobs={"n_entries": n_entries})
+    return ti

app/src/je_validation/generator/je12.py

@@ -0,0 +1,541 @@
+"""JE-12: posting-behaviour anomalies (timing, user, role). Real posting-time
+distribution (preserve_posting_time) overlaid with synthesised preparer
+identity/roles; anomalies are novel high-volume users in an account, material
+after-hours postings on the period's last day, and role-permission
+violations. Distractors: the automated-interface batch and a real seasonal
+spike (density alone, no defect)."""
+from __future__ import annotations
+
+import dataclasses
+from pathlib import Path
+
+from je_validation.envir.instance import (
+    DefectRecord,
+    HeldOut,
+    Instance,
+    TaskInstance,
+)
+from je_validation.generator.l2common import amount_of, augment, lift, with_amount
+from je_validation.generator.persist import spec_task_path, write_instance
+from je_validation.generator.seeding import pick, rng_for
+from je_validation.generator.slicing import slice_entries
+
+TASK_ID = "JE-12"
+DEFECT_COUNTS = {"after_hours": 3, "novel_user": 4, "role_violation": 3}
+N_BATCH, N_SPIKE = 40, 30
+SYS_USER = "sys_interface_01"
+_LAST_DAY = "2024-01-31"
+HIGH_VOLUME = 8
+ROLE_PREFIX_LEN = 2   # DS-A GL accounts all share one leading digit (class
+                      # "5" = expenditure); a 1-char prefix gives every user
+                      # the same single bucket. 2 chars separates the real
+                      # account groups (50, 51, 52, ...) into role scopes.
+MAX_SYNTH_PEERS = 10  # hard bound on synthetic same-department cleanup
+                      # peers per instance (generate() raises past this).
+                      # DS-A's real department sizes put several
+                      # departments over HIGH_VOLUME with no same-dept
+                      # reassignment target at all (single-preparer, or
+                      # every preparer independently high-volume); measured
+                      # 6-9 needed across seeds 1-5 even after the
+                      # interface batch drains as much as its fixed
+                      # 40-entry budget allows -- see
+                      # docs/notes/2026-08-12-je12-mint-bound.md.
+
+
+def _prefix_of(acct) -> str:
+    return str(acct)[:ROLE_PREFIX_LEN]
+
+
+def _dept_of_user(u: str) -> str:
+    return u[len("user_"):u.rfind("_")]
+
+
+def _batch_account_priority(entries: dict) -> list[str]:
+    """Account order for the interface batch, cheapest-relief first.
+
+    Two tiers of relief, computed from the RAW natural (pre-seeding,
+    pre-batch) preparer assignment:
+
+    1. ELIMINATION: an organically high-volume preparer with NO
+       same-department peer under HIGH_VOLUME (so same-department cleanup
+       later has nothing to reassign to) can be pulled entirely below
+       HIGH_VOLUME by draining enough of its OWN >=2-count account groups
+       into the batch -- cheapest (closest to the HIGH_VOLUME line) such
+       preparers first, so the fixed 40-entry budget clears as many whole
+       departments as possible instead of chasing individual accounts.
+    2. PAIRING: for whatever's left over, an account where some such
+       preparer has exactly one entry, paired with >=1 more entries of the
+       same account held anywhere else in the population -- relieves that
+       one entry's singleton status for free.
+
+    Both tiers only ever select accounts whose POPULATION-WIDE count is
+    >=2, so the batch itself never ends up with a singleton contribution.
+    Falls back to largest-remaining-account for whatever's still unfilled."""
+    per_user: dict[str, int] = {}
+    by_account: dict[str, list[str]] = {}
+    by_user_acct: dict[tuple, list[str]] = {}
+    for eid in sorted(entries):
+        e = entries[eid]
+        pid = e.header["preparer_id"]
+        acct = e.header["account"]
+        per_user[pid] = per_user.get(pid, 0) + 1
+        by_account.setdefault(acct, []).append(eid)
+        by_user_acct.setdefault((pid, acct), []).append(eid)
+
+    def dept_peer_volumes(u: str) -> list[int]:
+        dept = _dept_of_user(u)
+        return [per_user.get(v, 0) for v in per_user
+               if v != u and v.startswith(f"user_{dept}_")]
+
+    needing_help = sorted(
+        (u for u, c in per_user.items()
+         if c >= HIGH_VOLUME and u != SYS_USER
+         and all(v >= HIGH_VOLUME - 1 for v in dept_peer_volumes(u))),
+        key=lambda u: (per_user[u] - (HIGH_VOLUME - 1), u))   # cheapest first
+
+    elimination: list[str] = []
+    seen: set[str] = set()
+    for u in needing_help:
+        needed = per_user[u] - (HIGH_VOLUME - 1)
+        groups = sorted(
+            ((acct, ids) for (pid, acct), ids in by_user_acct.items()
+             if pid == u and len(by_account[acct]) >= 2),
+            key=lambda kv: (len(kv[1]), kv[0]))
+        got = 0
+        for acct, ids in groups:
+            if got >= needed:
+                break
+            if acct not in seen:
+                elimination.append(acct)
+                seen.add(acct)
+            got += len(ids)
+
+    pairing = sorted(
+        (acct for (pid, acct), ids in by_user_acct.items()
+         if len(ids) == 1 and per_user.get(pid, 0) >= HIGH_VOLUME
+         and len(by_account[acct]) >= 2 and acct not in seen),
+        key=lambda a: (len(by_account[a]), a))
+    seen.update(pairing)
+
+    rest = sorted((a for a in by_account if a not in seen),
+                 key=lambda a: (-len(by_account[a]), a))
+    return elimination + pairing + rest
+
+
+def _singleton_free_batch(entries: dict, n: int) -> list[str]:
+    """N entries for the automated-interface user, concentrated on a small
+    set of accounts so no account gets exactly one of its entries -- the
+    novelty detector (high-volume user, singleton account) must never fire
+    on the interface user itself (its 40 entries comfortably clear
+    HIGH_VOLUME). A real batch interface repeats the same handful of GL
+    accounts each run, so this also matches the real-world shape.
+
+    Account order (_batch_account_priority) spends the fixed budget on
+    relieving organic high-volume/no-low-volume-peer preparers first --
+    free cleanup, since those entries never enter entries_by_user at all --
+    before falling back to the largest remaining accounts to fill the rest."""
+    by_account: dict[str, list[str]] = {}
+    for eid in sorted(entries):
+        by_account.setdefault(entries[eid].header["account"], []).append(eid)
+    order = _batch_account_priority(entries)
+    # Phase 1: take accounts WHOLE, in `order`, while they still fit --
+    # never a partial take here, so no account is ever truncated down to a
+    # singleton contribution by running low on budget.
+    taken: dict[str, list[str]] = {}
+    total = 0
+    for acct in order:
+        ids = sorted(by_account[acct])
+        if len(ids) >= 2 and total + len(ids) <= n:
+            taken[acct] = ids
+            total += len(ids)
+    # Phase 2: close the remainder r = n - total (0 <= r < any remaining
+    # account's full size, else phase 1 would have taken it). r == 0: done.
+    # r >= 2: one untaken account of size >= r supplies exactly r entries
+    # (still >= 2, safe). r == 1: no account can supply exactly one entry
+    # without becoming a singleton contribution, so first free up a single
+    # slot by trimming one entry off an already-taken account that has
+    # slack (size >= 3, so it stays >= 2), turning r == 1 into r == 2.
+    r = n - total
+    if r == 1:
+        shrink = next((a for a in sorted(taken) if len(taken[a]) >= 3), None)
+        if shrink is not None:
+            taken[shrink] = taken[shrink][:-1]
+            total -= 1
+            r = 2
+    if r >= 2:
+        fill = sorted((a for a in by_account
+                      if a not in taken and len(by_account[a]) >= r),
+                     key=lambda a: (len(by_account[a]), a))
+        if fill:
+            taken[fill[0]] = sorted(by_account[fill[0]])[:r]
+            total += r
+    if total != n:
+        raise ValueError(f"could not assemble a {n}-entry singleton-free "
+                         "interface batch from this slice")
+    return sorted(x for ids in taken.values() for x in ids)
+
+
+def generate(seed: int, snapshot_root: Path, *, n_entries: int = 320,
+             out_dir: Path | None = None) -> TaskInstance:
+    raw = slice_entries(snapshot_root, task_id=TASK_ID, seed=seed,
+                        n_entries=n_entries, preserve_posting_time=True)
+    entries = {e.entry_id: lift(e, "account", "department") for e in raw}
+    rng = rng_for(TASK_ID, seed, "defects")
+
+    # --- interface batch: 40 entries, one system user, same-second cluster,
+    # concentrated on a few accounts (never a singleton contribution).
+    batch = _singleton_free_batch(entries, N_BATCH)
+    batch_set = set(batch)
+    t0 = f"{_LAST_DAY}T22:0{rng.randint(0, 4)}:1{rng.randint(0, 9)}"
+    for i, eid in enumerate(sorted(batch)):
+        e = entries[eid]
+        entries[eid] = dataclasses.replace(e, header={
+            **e.header, "preparer_id": SYS_USER, "entry_source": "interface",
+            "posting_ts": f"{t0}.{i:06d}"})
+
+    # --- bookkeeping: entries_by_user is the single source of truth for who
+    # prepared what; account-prefix permission sets are always DERIVED from
+    # it (never separately tracked), so a reassignment can never leave a
+    # stale permission behind.
+    def dept_of(e):
+        return e.header["department"]
+
+    entries_by_user: dict[str, list[str]] = {}
+    for eid, e in sorted(entries.items()):
+        if eid not in batch_set:
+            entries_by_user.setdefault(e.header["preparer_id"], []).append(eid)
+
+    def prefixes_of(u: str) -> set[str]:
+        return {_prefix_of(entries[x].header["account"]) for x in entries_by_user.get(u, ())}
+
+    def same_dept_users(dept):
+        return sorted(u for u in entries_by_user
+                      if u.startswith(f"user_{dept}_"))
+
+    def _safe_volume(u: str) -> int:
+        """u's entry count restricted to accounts where u ALREADY has >=2
+        entries. The singleton-cleanup pass (below) strips every OTHER
+        account down to nothing for a high-volume user (each of those
+        singletons would itself be a false novelty signal), so a donor is
+        only durably high-volume in the FINAL population if its non-novel
+        activity clears HIGH_VOLUME on safe (non-singleton) accounts alone."""
+        counts: dict[str, int] = {}
+        for x in entries_by_user.get(u, ()):
+            acct = entries[x].header["account"]
+            counts[acct] = counts.get(acct, 0) + 1
+        return sum(c for c in counts.values() if c >= 2)
+
+    def _ensure_dept_donor(dept: str) -> None:
+        """If no EXISTING same-dept user already clears the safe-volume bar,
+        consolidate that department's own non-singleton activity onto its
+        highest-volume existing user -- never minting, never touching
+        another department. This is the department's real users trading
+        entries among themselves, same as the cleanup pass below; if the
+        department's total safe volume genuinely can't clear the bar, this
+        is a no-op and the caller skips the mark instead."""
+        peers = same_dept_users(dept)
+        if any(_safe_volume(v) >= HIGH_VOLUME - 1 for v in peers):
+            return
+        by_acct: dict[str, list[str]] = {}
+        for v in peers:
+            for eid in entries_by_user.get(v, ()):
+                by_acct.setdefault(entries[eid].header["account"], []).append(eid)
+        poolable = sorted(eid for acct, ids in sorted(by_acct.items())
+                          if len(ids) >= 2 for eid in sorted(ids))
+        if len(poolable) < HIGH_VOLUME - 1:
+            return                       # structurally infeasible; caller skips
+        target = max(peers, key=lambda v: (len(entries_by_user.get(v, ())), v))
+        for eid in poolable:
+            if entries[eid].header["preparer_id"] != target:
+                reassign(eid, target)
+
+    def _drop(eid: str) -> None:
+        old_owner = entries[eid].header["preparer_id"]
+        if old_owner in entries_by_user and eid in entries_by_user[old_owner]:
+            entries_by_user[old_owner].remove(eid)
+
+    def reassign(eid: str, new_owner: str) -> None:
+        """Legitimate posting activity: the new owner's permitted-prefix set
+        grows to include this entry's account (novel_user donors, cleanup
+        reassignment)."""
+        _drop(eid)
+        entries_by_user.setdefault(new_owner, []).append(eid)
+        entries[eid] = dataclasses.replace(
+            entries[eid], header={**entries[eid].header, "preparer_id": new_owner})
+
+    def reassign_violating(eid: str, new_owner: str) -> None:
+        """Role violation: the entry's preparer changes but is deliberately
+        NOT added to the new owner's entries_by_user, so their permitted
+        list stays exactly what it was pre-seeding — the prefix must remain
+        absent, or this stops being a violation."""
+        _drop(eid)
+        entries[eid] = dataclasses.replace(
+            entries[eid], header={**entries[eid].header, "preparer_id": new_owner})
+
+    # --- seeded defects on non-batch entries. marks draws the ENTIRE
+    # remaining pool as one random permutation (not a fixed oversample) so
+    # the low hit-rate of the donor/villain existence checks below rarely
+    # exhausts the iterator; each category still skips draws that don't
+    # qualify and stops once it has placed enough.
+    pool = [eid for eid in sorted(entries) if eid not in batch_set]
+    marks = iter(pick(rng, pool, len(pool)))
+
+    def _draw(category: str) -> str:
+        """next(marks), typed: a genuinely exhausted pool (this seed's
+        department layout can't supply enough eligible candidates for
+        `category`) is a loud, specific failure -- never a bare
+        StopIteration -- so it's diagnosable per (task, seed, category)."""
+        try:
+            return next(marks)
+        except StopIteration:
+            raise ValueError(
+                f"{TASK_ID} seed {seed}: exhausted the candidate pool while "
+                f"seeding '{category}' defects") from None
+
+    defects = []
+    placed = 0
+    while placed < DEFECT_COUNTS["novel_user"]:
+        eid = _draw("novel_user")
+        e = entries[eid]
+        acct = e.header["account"]
+        dept = dept_of(e)
+        _ensure_dept_donor(dept)             # consolidate existing peers
+        donor = next(
+            (u for u in same_dept_users(dept)
+             if _safe_volume(u) >= HIGH_VOLUME - 1
+             and all(entries[x].header["account"] != acct
+                     for x in entries_by_user[u])), None)
+        if donor is None:
+            continue                        # this dept can't host one; skip
+        reassign(eid, donor)                 # permit (novel != violating)
+        defects.append(DefectRecord(eid, "novel_user", None, "flag"))
+        placed += 1
+
+    amounts = sorted(amount_of(x) for x in entries.values())
+    p90 = amounts[int(0.9 * len(amounts))]
+    for _ in range(DEFECT_COUNTS["after_hours"]):
+        eid = _draw("after_hours")
+        e = with_amount(entries[eid], int(p90 * 1.5))
+        ts = (f"{_LAST_DAY}T2{rng.randint(1, 3)}:"
+              f"{rng.randint(0, 59):02d}:{rng.randint(0, 59):02d}.000000")
+        entries[eid] = dataclasses.replace(
+            e, header={**e.header, "posting_ts": ts, "entry_source": "manual"})
+        defects.append(DefectRecord(eid, "after_hours", None, "flag"))
+
+    placed = 0
+    while placed < DEFECT_COUNTS["role_violation"]:
+        eid = _draw("role_violation")
+        e = entries[eid]
+        pfx = _prefix_of(e.header["account"])
+        villain = next((u for u in same_dept_users(dept_of(e))
+                        if pfx not in prefixes_of(u)), None)
+        if villain is None:
+            continue
+        reassign_violating(eid, villain)
+        defects.append(DefectRecord(eid, "role_violation", None, "flag"))
+        placed += 1
+
+    seeded_ids = {d.entry_id for d in defects}
+
+    # --- singleton-cleanup pass: every high-volume user's clean singleton
+    # (account, user) pair gets reassigned so the novelty detector isolates
+    # only seeded entries. Real DS-A departments are frequently
+    # single-preparer, so "another same-dept user with existing activity in
+    # the account" often doesn't exist; the tiers below exhaust every
+    # existing-user option before ever minting a new identity:
+    #   1. an existing same-dept peer who already has >=2 entries in this
+    #      account (absorbing one more can never leave THEM at a singleton)
+    #   2. an existing same-dept peer who stays comfortably below
+    #      HIGH_VOLUME even after gaining this entry (give-away)
+    #   3. a DIFFERENT existing entry of the SAME account, currently held
+    #      by another same-dept user, pulled onto u instead (u ends up with
+    #      2 in that account) -- safe whenever its current holder isn't
+    #      itself high-volume, so losing it can never create a fresh
+    #      singleton that matters
+    #   4. only if 1-3 all fail (typically a genuinely single-preparer
+    #      department, or a multi-preparer one where every member is
+    #      independently high-volume): mint one new same-department id, in
+    #      the SAME `user_<dept>_<k>` format the real preparer pool uses
+    #      (continuing its numbering) -- indistinguishable from a real id,
+    #      never a seeded defect's preparer (only clean singletons reach
+    #      here), and hard-bounded per instance (see MAX_SYNTH_PEERS,
+    #      _new_peer). The interface-batch construction above already
+    #      drains as much of this pressure as its fixed 40-entry budget
+    #      allows (_batch_account_priority); DS-A seed 5's own department
+    #      layout has 3-4 single-preparer departments independently
+    #      clearing HIGH_VOLUME (docs/notes/2026-08-12-je12-mint-bound.md),
+    #      so a handful of mints past what the batch can absorb is a real
+    #      floor of this dataset, not a tuning gap.
+    # Fixed-point: a fix can itself create a fresh singleton elsewhere
+    # (moving one of exactly two entries away), so this rescans until a
+    # full pass makes no change. Deterministic throughout; capped so a
+    # genuine non-convergence fails loud instead of looping forever.
+    def _acct_count(v: str, acct: str) -> int:
+        return sum(1 for x in entries_by_user.get(v, ())
+                  if entries[x].header["account"] == acct)
+
+    # role_violation entries are deliberately kept OUT of entries_by_user (so
+    # the villain's derived permitted list never grows to cover them), but
+    # they DO count toward the villain's real final per_user total (the
+    # invariant/test below recomputes volume from entries.values()
+    # directly). A villain otherwise just under HIGH_VOLUME would be
+    # silently skipped here and its OTHER organic singletons would go
+    # unfixed, so the threshold check below adds this back in.
+    villain_extra: dict[str, int] = {}
+    for d in defects:
+        if d.defect_type == "role_violation":
+            villain = entries[d.entry_id].header["preparer_id"]
+            villain_extra[villain] = villain_extra.get(villain, 0) + 1
+
+    def _true_volume(u: str) -> int:
+        return len(entries_by_user.get(u, ())) + villain_extra.get(u, 0)
+
+    synth_ids: set[str] = set()
+
+    def _new_peer(dept: str) -> str:
+        prefix = f"user_{dept}_"
+        existing_k = [int(v[len(prefix):]) for v in same_dept_users(dept)
+                     if v[len(prefix):].isdigit()]
+        peer = f"{prefix}{(max(existing_k) + 1) if existing_k else 1}"
+        synth_ids.add(peer)
+        if len(synth_ids) > MAX_SYNTH_PEERS:
+            raise ValueError(
+                f"{TASK_ID} seed {seed}: singleton-cleanup needed more than "
+                f"{MAX_SYNTH_PEERS} synthetic peers ({sorted(synth_ids)}) -- "
+                "this seed's department layout exceeds the bound")
+        return peer
+
+    for _pass in range(len(entries) + 1):
+        changed = False
+        for u in sorted(entries_by_user):
+            if _true_volume(u) < HIGH_VOLUME:
+                continue
+            by_acct: dict[str, list[str]] = {}
+            for eid in list(entries_by_user[u]):
+                by_acct.setdefault(entries[eid].header["account"], []).append(eid)
+            for acct, eids in sorted(by_acct.items()):
+                if len(eids) != 1:
+                    continue
+                eid = eids[0]
+                if eid in seeded_ids:
+                    continue
+                dept = dept_of(entries[eid])
+                # role_violation villains are never a recipient here: giving
+                # them ANY entry (any account) could grow their permitted
+                # 2-char prefix set into covering their own violated
+                # account's prefix, silently un-violating it.
+                same_dept = [v for v in same_dept_users(dept)
+                            if v not in villain_extra]
+                other = next((v for v in same_dept
+                              if v != u and _acct_count(v, acct) >= 2), None)
+                if other is None:
+                    other = next((v for v in same_dept if v != u
+                                  and _true_volume(v) < HIGH_VOLUME - 1), None)
+                if other is not None:
+                    reassign(eid, other)
+                    changed = True
+                    continue
+                pull = None
+                if u not in villain_extra:      # same reason, u is the recipient
+                    pull = next(
+                        (x for x in sorted(entries)
+                         if x not in batch_set and x != eid and x not in seeded_ids
+                         and entries[x].header["account"] == acct
+                         and dept_of(entries[x]) == dept
+                         and entries[x].header["preparer_id"] != u
+                         and _true_volume(entries[x].header["preparer_id"])
+                         < HIGH_VOLUME), None)
+                if pull is not None:
+                    reassign(pull, u)
+                    changed = True
+                    continue
+                reassign(eid, _new_peer(dept))
+                changed = True
+        if not changed:
+            break
+    else:
+        raise RuntimeError("singleton-cleanup pass did not converge")
+
+    # --- seasonal spike: 30 entries of the most common department, daytime
+    # manual times — pure density, no defect.
+    dept_counts: dict[str, int] = {}
+    for e in entries.values():
+        if e.header["preparer_id"] != SYS_USER:
+            dept_counts[e.header["department"]] = dept_counts.get(
+                e.header["department"], 0) + 1
+    spike_dept = sorted(dept_counts, key=lambda d: (-dept_counts[d], d))[0]
+    spike_pool = sorted(eid for eid, e in entries.items()
+                        if eid not in batch_set and eid not in seeded_ids
+                        and e.header["department"] == spike_dept)
+    spike = pick(rng, spike_pool, min(N_SPIKE, len(spike_pool)))
+    for eid in spike:
+        e = entries[eid]
+        ts = (f"{_LAST_DAY}T1{rng.randint(0, 8)}:"
+              f"{rng.randint(0, 59):02d}:{rng.randint(0, 59):02d}.000000")
+        entries[eid] = dataclasses.replace(
+            e, header={**e.header, "posting_ts": ts, "entry_source": "manual"})
+
+    # --- derive role NAMES from the FINAL entries_by_user assignment. A
+    # role_violation villain can end up with ZERO organic entries left --
+    # the cleanup pass (after seeding) may drain the rest of their volume
+    # elsewhere, since it only ever sees their real entries_by_user
+    # membership, not the deliberately-excluded violating entry (reassign_
+    # violating). villain_extra is exactly that set; include them here too
+    # (empty permitted-prefix list, which is the correct representation --
+    # a villain with no organic footprint permits nothing).
+    users = {u: {"role": f"clerk_{'-'.join(sorted(prefixes_of(u)))}",
+                "permitted_account_prefixes": sorted(prefixes_of(u)),
+                "system_account": False}
+             for u in set(entries_by_user) | set(villain_extra)
+             if entries_by_user.get(u) or u in villain_extra}
+    users[SYS_USER] = {"role": "system_interface",
+                       "permitted_account_prefixes": [],
+                       "system_account": True}
+
+    # --- invariants (assert, not hope)
+    assert len(synth_ids) <= MAX_SYNTH_PEERS, (
+        "too many synthetic cleanup peers", sorted(synth_ids))
+    for d in defects:
+        assert entries[d.entry_id].header["preparer_id"] not in synth_ids, (
+            "a synthetic peer ended up as a seeded defect's preparer", d.entry_id)
+    assert sum(1 for e in entries.values()
+               if e.header["preparer_id"] == SYS_USER) == N_BATCH
+    for eid, e in entries.items():
+        pid = e.header["preparer_id"]
+        if pid == SYS_USER or eid in seeded_ids:
+            continue
+        prefixes = users[pid]["permitted_account_prefixes"]
+        assert any(str(e.header["account"]).startswith(p) for p in prefixes), (
+            "cleanup pass left a clean entry that violates its preparer's role", eid)
+    for e in entries.values():
+        pid = e.header["preparer_id"]
+        if pid.startswith("user_"):
+            assert pid.startswith(f"user_{e.header['department']}_"), (
+                "preparer department mismatch", e.entry_id, pid)
+
+    per_user: dict[str, int] = {}
+    by_acct_user: dict[tuple, int] = {}
+    for e in entries.values():
+        pid = e.header["preparer_id"]
+        per_user[pid] = per_user.get(pid, 0) + 1
+    for e in entries.values():
+        key = (e.header["account"], e.header["preparer_id"])
+        by_acct_user[key] = by_acct_user.get(key, 0) + 1
+    detected = {eid for eid, e in entries.items()
+               if per_user[e.header["preparer_id"]] >= HIGH_VOLUME
+               and by_acct_user[(e.header["account"], e.header["preparer_id"])] == 1}
+    assert detected <= seeded_ids, (
+        "novelty detector picks up a clean entry", sorted(detected - seeded_ids))
+
+    out_entries = augment(list(entries.values()), period=7)
+    inst = Instance(task_id=TASK_ID, seed=seed, entries=tuple(sorted(
+        out_entries, key=lambda e: e.entry_id)), documents=(), policies={},
+        master_data={"user": users})
+    ho = HeldOut(defects=tuple(sorted(defects, key=lambda d: d.entry_id)),
+                 required_docs=frozenset(), evidence_map={}, claims={})
+    ti = TaskInstance(inst, ho)
+    if out_dir is not None:
+        write_instance(ti, out_dir, task_spec_path=spec_task_path(TASK_ID),
+                       snapshot_id=snapshot_root.name,
+                       knobs={"n_entries": n_entries})
+    return ti

app/src/je_validation/generator/je13.py

@@ -0,0 +1,343 @@
+"""JE-13: rare attribute-combination detection (local + global anomalies,
+program-launch distractor). Seeded against DS-A's own joint history
+(account x department x vendor_type x expense_category, FY2020-FY2026).
+
+Construction follows docs/spec/tasks/JE-13.json as amended three times against
+real-data feasibility findings (task-7-amendment.md, task-7-amendment-v2.md,
+the v3 addendum appended to the latter):
+  - seeded locals need ALL FOUR marginals >= T_HI (not just COMMON) -- a
+    fairness band, so any agent heuristic cutoff in [COMMON, T_HI] recovers
+    exactly the seeded set;
+  - the "clean lookalike" cleanup is a single-attribute DEMOTION pass (round
+    2), not a donor-merge -- provably cannot create new lookalikes;
+  - the demotion pass has NO historical-profile check (round 3): agents have
+    no tool over the 7-year history, so joint-combo novelty is agent-invisible
+    and doesn't need protecting. What DOES need protecting is (a) never
+    reproducing a seeded/cohort combo, (b) never touching a seeded global's
+    signature value.
+  - a protected (attr, value) pair -- one the 8 seeded locals rely on -- MAY
+    be decremented (round 4/v3) as long as its live count stays >= T_HI
+    afterward; unprotected attrs are still tried first (fixed order), then
+    protected-but-guarded ones in the same order. This unblocks lookalikes
+    whose four values all happen to coincide with protected values (the
+    round-3 per-seed residuals) while providing the same T_HI-floor proof
+    as before.
+  - real DS-A cardinalities can still leave a seed unconstructible in
+    principle; generate() raises InfeasibleSeed rather than silently emit an
+    instance that fails its own guards, but in practice seeds 1-5 all
+    construct cleanly under this rule (see test_je13.py).
+"""
+from __future__ import annotations
+
+import dataclasses
+import itertools
+from collections import Counter
+from functools import lru_cache
+from pathlib import Path
+
+import polars as pl
+
+from je_validation.envir.instance import (
+    DefectRecord,
+    HeldOut,
+    Instance,
+    TaskInstance,
+)
+from je_validation.generator.l2common import augment, lift
+from je_validation.generator.persist import spec_task_path, write_instance
+from je_validation.generator.seeding import pick, rng_for
+from je_validation.generator.slicing import slice_entries
+from je_validation.ingest.ds_a.load import scan_ds_a
+
+TASK_ID = "JE-13"
+ATTRS = ("account", "department", "vendor_type", "expense_category")
+# demotion attribute priority: highest-cardinality (least likely to collide
+# with a seeded local's PROTECTED value) tried first -- account.py precedent
+# (largest pool first) is the same intuition as slicing's biggest-first picks
+_DEMOTE_ORDER = ("account", "expense_category", "department", "vendor_type")
+DEFECT_COUNTS = {"local_anomaly": 8, "global_anomaly": 4}
+N_PROGRAM = 15
+_N_PROGRAM_COMBOS = 5
+_PROGRAM_GROUP_SIZE = N_PROGRAM // _N_PROGRAM_COMBOS
+PROGRAM_CODE = "PRG-2024-NEW"
+
+COMMON = 5   # instance-marginal "common" threshold: demotion trigger + guard
+T_HI = 8     # seeded-local marginal floor (fairness-band ceiling, amendment)
+
+
+class InfeasibleSeed(ValueError):
+    """A (task_id, seed) cannot satisfy JE-13's construction invariants
+    under real DS-A cardinalities (amendment v1/v2). Try a different seed."""
+
+
+@lru_cache(maxsize=2)
+def _profile(snapshot: str):
+    lf = scan_ds_a(Path(snapshot)).select(list(ATTRS))
+    joint = lf.group_by(list(ATTRS)).len().collect()
+    joint_keys = set(map(tuple, joint.select(list(ATTRS)).iter_rows()))
+    marginals = {a: dict(joint.group_by(a).agg(pl.col("len").sum()).iter_rows())
+                for a in ATTRS}
+    return joint_keys, marginals
+
+
+def _inject_combo(entries: dict, eid: str, combo: tuple) -> None:
+    """Rewrite an entry's ATTRS + the D lines' account/department (line/header
+    mismatch would be a tell; the C leg's coding is left as postingise set it,
+    same as any naturally-occurring multi-department entry -- amendment note)."""
+    e = entries[eid]
+    header = {**e.header, **dict(zip(ATTRS, combo, strict=True))}
+    lines = tuple({**ln, "account": combo[0], "department": combo[1]}
+                  if ln["side"] == "D" else ln for ln in e.lines)
+    entries[eid] = dataclasses.replace(e, header=header, lines=lines)
+
+
+def _inject_program(entries: dict, eid: str, combo: tuple) -> None:
+    _inject_combo(entries, eid, combo)
+    e = entries[eid]
+    header = {**e.header, "program": PROGRAM_CODE}
+    lines = tuple({**ln, "program": PROGRAM_CODE} if ln["side"] == "D" else ln
+                  for ln in e.lines)
+    entries[eid] = dataclasses.replace(e, header=header, lines=lines)
+
+
+def _shuffled_product(pools: dict, rng) -> list[tuple]:
+    combos = sorted(itertools.product(*(pools[a] for a in ATTRS)))
+    rng.shuffle(combos)
+    return combos
+
+
+def _local_candidates(joint_keys, instance_entries, rng):
+    """Instance-common (>= T_HI, amendment's fairness-band floor) values,
+    snapshot-absent joints (panel: snapshot-quartile values are routinely
+    rare in a 600-row slice, so the pool must be instance-derived)."""
+    inst_marg = {a: Counter(e.header[a] for e in instance_entries) for a in ATTRS}
+    common = {a: sorted(v for v, n in inst_marg[a].items() if n >= T_HI and v is not None)
+              for a in ATTRS}
+    combos = sorted(itertools.product(*(common[a] for a in ATTRS)))
+    rng.shuffle(combos)
+    return (c for c in combos if c not in joint_keys)
+
+
+def generate(seed: int, snapshot_root: Path, *, n_entries: int = 600,
+             out_dir: Path | None = None) -> TaskInstance:
+    joint_keys, marginals = _profile(str(snapshot_root))
+    base = [lift(e, "account", "department", "program")
+            for e in augment(
+                slice_entries(snapshot_root, task_id=TASK_ID, seed=seed,
+                             n_entries=n_entries,
+                             extra_header_fields=("vendor_type", "expense_category")),
+                period=7)]
+    if len(base) != n_entries:
+        raise InfeasibleSeed(f"seed {seed}: sliced {len(base)} entries, need {n_entries}")
+    entries = {e.entry_id: e for e in base}
+
+    rng = rng_for(TASK_ID, seed, "defects")
+    pool = sorted(entries)
+    local_eids = sorted(pick(rng, pool, DEFECT_COUNTS["local_anomaly"]))
+    remaining = sorted(set(pool) - set(local_eids))
+    global_eids = sorted(pick(rng, remaining, DEFECT_COUNTS["global_anomaly"]))
+    remaining = sorted(set(remaining) - set(global_eids))
+    program_eids = sorted(pick(rng, remaining, N_PROGRAM))
+
+    # ---- 8 seeded local anomalies: T_HI-common marginals, snapshot+instance
+    # absent joint, instance-unique ----
+    combo_counts0 = Counter(tuple(e.header[a] for a in ATTRS) for e in base)
+    candidates = _local_candidates(joint_keys, base, rng)
+    local_combos: list[tuple] = []
+    for c in candidates:
+        if len(local_combos) >= DEFECT_COUNTS["local_anomaly"]:
+            break
+        if combo_counts0[c] == 0:
+            local_combos.append(c)
+    if len(local_combos) < DEFECT_COUNTS["local_anomaly"]:
+        raise InfeasibleSeed(f"seed {seed}: only {len(local_combos)} local-anomaly "
+                             f"candidates at T_HI={T_HI} (need {DEFECT_COUNTS['local_anomaly']})")
+    for eid, combo in zip(local_eids, local_combos, strict=True):
+        _inject_combo(entries, eid, combo)
+
+    # ---- 4 global anomalies: bottom-decile snapshot expense_category value,
+    # absent from the instance, unique after injection ----
+    inst_marg0 = {a: Counter(e.header[a] for e in base) for a in ATTRS}
+    ec_vals = sorted(marginals["expense_category"].items(), key=lambda kv: (kv[1], str(kv[0])))
+    decile_n = max(1, len(ec_vals) // 10)
+    bottom_decile_ec = [v for v, _ in ec_vals[:decile_n] if v is not None]
+    rare_pool = sorted(v for v in bottom_decile_ec
+                       if inst_marg0["expense_category"].get(v, 0) == 0)
+    if len(rare_pool) < DEFECT_COUNTS["global_anomaly"]:
+        raise InfeasibleSeed(f"seed {seed}: only {len(rare_pool)} global-anomaly "
+                             f"candidates (need {DEFECT_COUNTS['global_anomaly']})")
+    global_values = sorted(pick(rng, rare_pool, DEFECT_COUNTS["global_anomaly"]))
+    for eid, v in zip(sorted(global_eids), global_values, strict=True):
+        e = entries[eid]
+        entries[eid] = dataclasses.replace(e, header={**e.header, "expense_category": v})
+    global_combo_set = {tuple(entries[eid].header[a] for a in ATTRS) for eid in global_eids}
+    global_expense_values = set(global_values)
+
+    # PROTECTED: (attr, value) pairs the 8 seeded locals rely on. A demotion
+    # may still decrement one (amendment v3) iff its live count stays >=
+    # T_HI afterward -- unprotected attrs are tried first, protected-but-
+    # guarded ones only as a fallback (see the demotion pass below).
+    protected_pairs = {(a, v) for combo in local_combos
+                       for a, v in zip(ATTRS, combo, strict=True)}
+    seeded_values_by_attr = {a: set() for a in ATTRS}
+    for combo in local_combos:
+        for a, v in zip(ATTRS, combo, strict=True):
+            seeded_values_by_attr[a].add(v)
+    seeded_values_by_attr["expense_category"] |= global_expense_values
+
+    # ---- 5 program-cohort combos, P1 -> P2 fallback (amendment) ----
+    def _pool_p1():
+        return {a: sorted(v for v, n in inst_marg0[a].items()
+                          if v is not None and 2 <= n < COMMON
+                          and v not in seeded_values_by_attr[a])
+               for a in ATTRS}
+
+    def _pool_p2(p1):
+        # Amendment v1 also gated P2 on "has snapshot support for `program`"
+        # -- dropped (controller ruling, round 5): PROGRAM_CODE is novel by
+        # design (the brief's own discoverable signal is that these combos
+        # are first-occurrence), and _profile carries no `program` column to
+        # check support against, so the clause has no coherent referent.
+        # P2 relaxes only the frequency band (common values, not just
+        # mid-frequency); distinctness from every seeded/cohort combo is
+        # still enforced by _search_cohort_combos below.
+        common_pool = {a: sorted(v for v, n in inst_marg0[a].items()
+                                 if v is not None and n >= COMMON
+                                 and v not in seeded_values_by_attr[a])
+                       for a in ATTRS}
+        return {a: sorted(set(p1[a]) | set(common_pool[a])) for a in ATTRS}
+
+    def _search_cohort_combos(pools):
+        found: list[tuple] = []
+        seen = set(local_combos)
+        for c in _shuffled_product(pools, rng):
+            if len(found) >= _N_PROGRAM_COMBOS:
+                break
+            if c in seen:
+                continue
+            found.append(c)
+            seen.add(c)
+        return found
+
+    p1 = _pool_p1()
+    program_combos = _search_cohort_combos(p1)
+    if len(program_combos) < _N_PROGRAM_COMBOS:
+        program_combos = _search_cohort_combos(_pool_p2(p1))
+    if len(program_combos) < _N_PROGRAM_COMBOS:
+        raise InfeasibleSeed(f"seed {seed}: only {len(program_combos)} program-cohort "
+                             f"combos even with P2 fallback (need {_N_PROGRAM_COMBOS})")
+
+    program_eids_sorted = sorted(program_eids)
+    program_groups = [program_eids_sorted[i:i + _PROGRAM_GROUP_SIZE]
+                      for i in range(0, N_PROGRAM, _PROGRAM_GROUP_SIZE)]
+    for group, combo in zip(program_groups, program_combos, strict=True):
+        for eid in group:
+            _inject_program(entries, eid, combo)
+
+    # ---- demotion pass: eliminate every remaining clean joint-singleton
+    # with min marginal >= COMMON, one attribute swap each, no historical
+    # check (amendment v2: agents have no tool over the 7-year history);
+    # a protected value may be decremented iff it stays >= T_HI (v3) ----
+    live_marg = {a: Counter(e.header[a] for e in entries.values()) for a in ATTRS}
+    live_combo = {eid: tuple(e.header[a] for a in ATTRS) for eid, e in entries.items()}
+    live_combo_counts = Counter(live_combo.values())
+    protected_eids = set(local_eids) | set(global_eids) | set(program_eids)
+    reject_combo_set = set(local_combos) | set(program_combos) | global_combo_set
+
+    rng_demote = rng_for(TASK_ID, seed, "demote")
+    for eid in sorted(entries):
+        if eid in protected_eids:
+            continue
+        combo = live_combo[eid]
+        if live_combo_counts[combo] != 1:
+            continue
+        if min(live_marg[a][v] for a, v in zip(ATTRS, combo, strict=True)) < COMMON:
+            continue
+        demoted = False
+        # unprotected attrs first (fixed order), then protected-but-guarded
+        # ones in the same order (amendment v3)
+        unprotected = [k for k in _DEMOTE_ORDER
+                      if (k, combo[ATTRS.index(k)]) not in protected_pairs]
+        guarded = [k for k in _DEMOTE_ORDER
+                  if (k, combo[ATTRS.index(k)]) in protected_pairs]
+        for k in unprotected + guarded:
+            old_v = combo[ATTRS.index(k)]
+            protected = (k, old_v) in protected_pairs
+            if protected and live_marg[k][old_v] - 1 < T_HI:
+                continue     # decrement would drop a seeded local below T_HI
+            valid = []
+            for v, n in sorted(live_marg[k].items(),
+                              key=lambda kv: (kv[0] is None, kv[0])):
+                if v is None or v == old_v or not (1 <= n <= 3):
+                    continue
+                if k == "expense_category" and v in global_expense_values:
+                    continue
+                new_combo = tuple(v if a == k else vv
+                                 for a, vv in zip(ATTRS, combo, strict=True))
+                if new_combo in reject_combo_set:
+                    continue
+                valid.append(v)
+            if not valid:
+                continue
+            chosen_v = rng_demote.choice(valid)
+            new_combo = tuple(chosen_v if a == k else vv
+                             for a, vv in zip(ATTRS, combo, strict=True))
+            live_marg[k][old_v] -= 1
+            live_marg[k][chosen_v] += 1
+            live_combo_counts[combo] -= 1
+            live_combo_counts[new_combo] += 1
+            live_combo[eid] = new_combo
+            _inject_combo(entries, eid, new_combo)
+            demoted = True
+            break
+        if not demoted:
+            raise InfeasibleSeed(f"seed {seed}: no legal demotion for entry {eid}")
+
+    # ---- post-pass verification (amendment v2 step 4): fail loudly, never
+    # degrade ----
+    final_marg = {a: Counter(e.header[a] for e in entries.values()) for a in ATTRS}
+    final_combo = Counter(tuple(e.header[a] for a in ATTRS) for e in entries.values())
+
+    for eid in local_eids:
+        c = tuple(entries[eid].header[a] for a in ATTRS)
+        if final_combo[c] != 1:
+            raise InfeasibleSeed(f"seed {seed}: local {eid} combo not unique post-pass")
+        if any(final_marg[a][v] < T_HI for a, v in zip(ATTRS, c, strict=True)):
+            raise InfeasibleSeed(f"seed {seed}: local {eid} marginal dropped below T_HI")
+
+    clean_lookalikes = [eid for eid, e in entries.items()
+                        if eid not in protected_eids
+                        and final_combo[tuple(e.header[a] for a in ATTRS)] == 1
+                        and min(final_marg[a][e.header[a]] for a in ATTRS) >= COMMON]
+    if clean_lookalikes:
+        raise InfeasibleSeed(f"seed {seed}: clean lookalikes remain: {clean_lookalikes}")
+
+    for v in global_values:
+        if final_marg["expense_category"][v] != 1:
+            raise InfeasibleSeed(f"seed {seed}: global expense_category {v!r} "
+                                 "marginal != 1 post-pass")
+
+    prog_members = [e for e in entries.values() if e.header["program"] == PROGRAM_CODE]
+    prog_combo_counts = Counter(tuple(e.header[a] for a in ATTRS) for e in prog_members)
+    # amendment v2 step 4, literal wording: cohort combos distinct from ALL
+    # seeded combos -- locals AND globals, not just locals
+    seeded_combo_set = set(local_combos) | global_combo_set
+    if len(prog_members) != N_PROGRAM or any(n < 2 for n in prog_combo_counts.values()) \
+            or any(c in seeded_combo_set for c in prog_combo_counts):
+        raise InfeasibleSeed(f"seed {seed}: program-cohort invariant violated post-pass")
+
+    # ---- assemble ----
+    defects = tuple(sorted(
+        [DefectRecord(eid, "local_anomaly", None, "flag") for eid in local_eids]
+        + [DefectRecord(eid, "global_anomaly", None, "flag") for eid in global_eids],
+        key=lambda d: d.entry_id))
+    ho = HeldOut(defects=defects, required_docs=frozenset(), evidence_map={}, claims={})
+    inst = Instance(task_id=TASK_ID, seed=seed,
+                    entries=tuple(sorted(entries.values(), key=lambda e: e.entry_id)),
+                    documents=(), policies={}, master_data={})
+    ti = TaskInstance(inst, ho)
+    if out_dir is not None:
+        write_instance(ti, out_dir, task_spec_path=spec_task_path(TASK_ID),
+                       snapshot_id=snapshot_root.name,
+                       knobs={"n_entries": n_entries})
+    return ti

app/src/je_validation/generator/je14.py

@@ -0,0 +1,348 @@
+"""JE-14: vendor master anomalies. Ten seeded vendors carry classic
+fictitious-vendor / related-party indicators in the vendor master (creation
+recency plus payment timing, shared banking, employee-address overlap,
+near-duplicate naming, bid-threshold hugging); their payment entries are
+real DS-A entries repurposed under a fresh synthetic vendor id (the entry
+itself carries no tell - the anomaly lives entirely in master data an agent
+must cross-reference). Twelve real, established-looking vendors from a
+documented procurement round are the distractor cohort: legitimately new
+(recency alone is not a signal - spec guard), memo-backed, never seeded.
+Five more vendors exist only in the vendor master with zero payment entries,
+exhibiting the same seeded patterns - enumerating the master alone
+over-generates the flag list (lesson 7 / JE-02 decoy rule); the ledger
+cross-reference (does this vendor id appear on any entry?) is required to
+tell seeded from decoy."""
+from __future__ import annotations
+
+import dataclasses
+from collections import Counter
+from datetime import date, timedelta
+from pathlib import Path
+
+from je_validation.envir.instance import (
+    DefectRecord,
+    HeldOut,
+    Instance,
+    TaskInstance,
+)
+from je_validation.generator.docgen.memos import procurement_memo_doc
+from je_validation.generator.l2common import amount_of, augment, with_amount
+from je_validation.generator.persist import spec_task_path, write_instance
+from je_validation.generator.seeding import pick, rng_for
+from je_validation.generator.slicing import slice_entries
+
+TASK_ID = "JE-14"
+DEFECT_COUNTS = {"bid_threshold_avoidance": 4, "employee_address_match": 4,
+                 "name_similarity": 6, "rapid_creation_payment": 4,
+                 "shared_bank_details": 4}
+BID_THRESHOLD_CENTS = 5_000_000
+
+N_RAPID, N_SHARED_BANK, N_EMPLOYEE_ADDR, N_NAME_SIM, N_BID = 2, 2, 2, 3, 1
+N_ROUND = 12
+N_EMPLOYEES = 25
+PERIOD_MONTH = "2024-01"
+
+STREET_NAMES = (
+    "Birch Road", "Cedar Court", "Chestnut Street", "Elm Street",
+    "Maple Avenue", "Oak Lane", "Pine Street", "Spruce Avenue",
+    "Walnut Drive", "Willow Way",
+)
+VENDOR_TYPES = ("Goods", "Services", "Construction", "Professional Services")
+NEW_VENDOR_NAMES = (
+    "BLUE HARBOR CONTRACTING INC", "CRESTVIEW PROCUREMENT LLC",
+    "FALCONWOOD CONTRACTING LLC", "GRAYSTONE TRADE PARTNERS",
+    "HARBORLIGHT PROCUREMENT LLC", "IRONGATE VENDORS LLC",
+    "MERIDIAN SUPPLY PARTNERS", "NORTHGATE FACILITIES GROUP",
+    "PINEHOLLOW SERVICES INC", "QUANTUM RIDGE SUPPLY LLC",
+    "REDSTONE OUTFITTERS INC", "SILVERLINE LOGISTICS CORP",
+)
+FIRST_NAMES = ("James", "Maria", "Robert", "Linda", "Michael")
+LAST_NAMES = ("Nguyen", "Garcia", "Smith", "Johnson", "Patel")
+EMPLOYEE_NAMES = tuple(f"{first} {last}" for first in FIRST_NAMES for last in LAST_NAMES)  # 25
+
+BENIGN_INFO_TEMPLATES = (
+    "standard PO cycle, matched to receiving",
+    "repeat vendor, annual maintenance contract",
+    "goods received in full, three-way match on file",
+)
+RAPID_ANSWER = ("onboarded urgently at the request of the department "
+               "director; no competitive process documented")
+N_INFO_BENIGN = 30
+
+
+def _near_dup_name(rng, name: str) -> str:
+    """Single-character deletion: guaranteed edit distance 1, guaranteed
+    different (length alone differs)."""
+    i = rng.randrange(len(name))
+    return name[:i] + name[i + 1:]
+
+
+def _synthetic_vendor_ids(rng, length: int, lo: int, hi: int, used: set[str],
+                          n: int) -> list[str]:
+    """Unused ids in the modal (all-digit, fixed-length) real vendor_id
+    format, drawn from the same numeric span real ids occupy - not the full
+    zero-padded space, so synthetic ids look like the real population."""
+    out: list[str] = []
+    seen = set(used)
+    while len(out) < n:
+        cand = f"{rng.randrange(lo, hi + 1):0{length}d}"
+        if cand not in seen:
+            out.append(cand)
+            seen.add(cand)
+    return out
+
+
+def generate(seed: int, snapshot_root: Path, *, n_entries: int = 240,
+             out_dir: Path | None = None) -> TaskInstance:
+    raw = slice_entries(snapshot_root, task_id=TASK_ID, seed=seed,
+                        n_entries=n_entries, extra_header_fields=("vendor",))
+    entries = {e.entry_id: e for e in augment(raw, period=7)}
+
+    # canonical name per real vendor id: first sorted entry that carries it
+    vendor_name_real: dict[str, str] = {}
+    for eid in sorted(entries):
+        vid = str(entries[eid].header["vendor_id"])
+        vendor_name_real.setdefault(vid, entries[eid].header.get("vendor", vid))
+    real_vendor_ids_all = sorted(vendor_name_real)
+
+    amounts_sorted = sorted(amount_of(e) for e in entries.values())
+    p90_cents = amounts_sorted[int(0.9 * (len(amounts_sorted) - 1))]
+
+    digit_ids = [v for v in real_vendor_ids_all if v.isdigit()]
+    if not digit_ids:
+        raise ValueError(f"seed {seed}: no all-digit vendor ids to model synthetic format on")
+    length = Counter(len(v) for v in digit_ids).most_common(1)[0][0]
+    same_len = [v for v in digit_ids if len(v) == length]
+    lo, hi = min(int(v) for v in same_len), max(int(v) for v in same_len)
+
+    # --- disjoint real-vendor cohorts: round / name-sim targets / shared-bank target ---
+    rng_round = rng_for(TASK_ID, seed, "round")
+    round_vendor_ids = pick(rng_round, real_vendor_ids_all, N_ROUND)
+    round_set = set(round_vendor_ids)
+
+    pool2 = sorted(set(real_vendor_ids_all) - round_set)
+    namesim_pool = sorted(v for v in pool2 if len(vendor_name_real[v]) >= 3)
+    if len(namesim_pool) < N_NAME_SIM + 1:
+        raise ValueError(f"seed {seed}: only {len(namesim_pool)} eligible name-sim targets")
+    rng_namesim_target = rng_for(TASK_ID, seed, "namesim_target")
+    namesim_target_ids = pick(rng_namesim_target, namesim_pool, N_NAME_SIM + 1)
+    namesim_seeded_targets = namesim_target_ids[:N_NAME_SIM]
+    decoy_namesim_target = namesim_target_ids[N_NAME_SIM]
+
+    pool3 = sorted(set(pool2) - set(namesim_target_ids))
+    rng_sharedbank_target = rng_for(TASK_ID, seed, "sharedbank_target")
+    sharedbank_target_id = pick(rng_sharedbank_target, pool3, 1)[0]
+
+    # --- synthetic vendor ids: 10 seeded + 5 master-only decoys ---
+    rng_ids = rng_for(TASK_ID, seed, "vendor_ids")
+    synth_ids = _synthetic_vendor_ids(rng_ids, length, lo, hi,
+                                      set(real_vendor_ids_all), 15)
+    it = iter(synth_ids)
+    rapid_vids = [next(it) for _ in range(N_RAPID)]
+    shared_bank_vids = [next(it) for _ in range(N_SHARED_BANK)]
+    employee_addr_vids = [next(it) for _ in range(N_EMPLOYEE_ADDR)]
+    name_sim_vids = [next(it) for _ in range(N_NAME_SIM)]
+    bid_vids = [next(it) for _ in range(N_BID)]
+    decoy_shared_bank_vids = [next(it), next(it)]
+    decoy_employee_addr_vid = next(it)
+    decoy_name_sim_vid = next(it)
+    decoy_created_vid = next(it)
+
+    seeded_vids_all = (rapid_vids + shared_bank_vids + employee_addr_vids
+                       + name_sim_vids + bid_vids)
+    decoy_vids_all = (decoy_shared_bank_vids
+                      + [decoy_employee_addr_vid, decoy_name_sim_vid, decoy_created_vid])
+
+    # --- pick victim entries to repurpose: never touch round/target vendors' entries ---
+    excluded_real = round_set | set(namesim_target_ids) | {sharedbank_target_id}
+    victim_pool = sorted(eid for eid, e in entries.items()
+                         if str(e.header["vendor_id"]) not in excluded_real)
+    n_needed = sum(DEFECT_COUNTS.values())
+    if len(victim_pool) < n_needed:
+        raise ValueError(f"seed {seed}: only {len(victim_pool)} entries eligible for rewrite")
+    rng_rewrite = rng_for(TASK_ID, seed, "rewrite_pick")
+    victims = pick(rng_rewrite, victim_pool, n_needed)
+    vi = iter(victims)
+    rapid_entries = {vid: [next(vi), next(vi)] for vid in rapid_vids}
+    shared_entries = {vid: [next(vi), next(vi)] for vid in shared_bank_vids}
+    employee_entries = {vid: [next(vi), next(vi)] for vid in employee_addr_vids}
+    namesim_entries = {vid: [next(vi), next(vi)] for vid in name_sim_vids}
+    bid_entries = {bid_vids[0]: [next(vi) for _ in range(4)]}
+    seeded_entries_of_vid = {**rapid_entries, **shared_entries, **employee_entries,
+                             **namesim_entries, **bid_entries}
+
+    defect_type_of_vid = {}
+    for vid in rapid_vids:
+        defect_type_of_vid[vid] = "rapid_creation_payment"
+    for vid in shared_bank_vids:
+        defect_type_of_vid[vid] = "shared_bank_details"
+    for vid in employee_addr_vids:
+        defect_type_of_vid[vid] = "employee_address_match"
+    for vid in name_sim_vids:
+        defect_type_of_vid[vid] = "name_similarity"
+    for vid in bid_vids:
+        defect_type_of_vid[vid] = "bid_threshold_avoidance"
+
+    # --- names: generic pool for non-name-sim seeded/decoy vendors; near-dup for the rest ---
+    rng_names = rng_for(TASK_ID, seed, "vendor_names")
+    generic_pool = pick(rng_names, list(NEW_VENDOR_NAMES), 11)
+    gi = iter(generic_pool)
+    synth_name_of: dict[str, str] = {}
+    for vid in rapid_vids + shared_bank_vids + employee_addr_vids + bid_vids:
+        synth_name_of[vid] = next(gi)
+    for vid in decoy_shared_bank_vids:
+        synth_name_of[vid] = next(gi)
+    synth_name_of[decoy_employee_addr_vid] = next(gi)
+    synth_name_of[decoy_created_vid] = next(gi)
+
+    rng_namesim_perturb = rng_for(TASK_ID, seed, "namesim_perturb")
+    for vid, target in zip(name_sim_vids, namesim_seeded_targets, strict=True):
+        synth_name_of[vid] = _near_dup_name(rng_namesim_perturb, vendor_name_real[target])
+    synth_name_of[decoy_name_sim_vid] = _near_dup_name(
+        rng_namesim_perturb, vendor_name_real[decoy_namesim_target])
+
+    # --- rewrite victim entries: vendor id/name, plus amount for bid/rapid cohorts ---
+    def _rewrite_vendor(eid: str, vid: str, name: str) -> None:
+        e = entries[eid]
+        entries[eid] = dataclasses.replace(
+            e, header={**e.header, "vendor_id": vid, "vendor": name})
+
+    rng_amount = rng_for(TASK_ID, seed, "amount")
+    defects: list[DefectRecord] = []
+    for vid, eids in seeded_entries_of_vid.items():
+        name = synth_name_of[vid]
+        for eid in eids:
+            _rewrite_vendor(eid, vid, name)
+        if vid in bid_vids:
+            for eid in eids:
+                cents = int(BID_THRESHOLD_CENTS * (0.96 + rng_amount.random() * 0.03))
+                entries[eid] = with_amount(entries[eid], cents)
+        elif vid in rapid_vids:
+            for eid in eids:
+                cents = int(p90_cents * (1.0 + rng_amount.random() * 0.5))
+                entries[eid] = with_amount(entries[eid], cents)
+        dtype = defect_type_of_vid[vid]
+        for eid in eids:
+            defects.append(DefectRecord(eid, dtype, f"master:vendor:{vid}", "flag"))
+
+    if Counter(d.defect_type for d in defects) != DEFECT_COUNTS:
+        raise AssertionError(f"seed {seed}: injected {Counter(d.defect_type for d in defects)}, "
+                             f"expected {DEFECT_COUNTS}")
+
+    # --- rapid vendors' created date: 2 days before their first payment ---
+    rapid_created: dict[str, str] = {}
+    for vid, eids in rapid_entries.items():
+        first_tx = min(entries[eid].header["transaction_date"] for eid in eids)
+        rapid_created[vid] = (date.fromisoformat(first_tx) - timedelta(days=2)).isoformat()
+
+    # --- procurement-round documents: every round vendor's entries carry the memo ---
+    round_names_sorted = sorted(vendor_name_real[v] for v in round_vendor_ids)
+    round_entry_ids = sorted(eid for eid, e in entries.items()
+                             if str(e.header["vendor_id"]) in round_set)
+    documents = [
+        procurement_memo_doc(
+            doc_id=f"procurement-{eid}", entry_id=eid,
+            f={"round_name": "Q1 2024 Vendor Onboarding Round",
+               "date": "2024-01-15", "approver": "Procurement Director",
+               "vendors": round_names_sorted})
+        for eid in round_entry_ids
+    ]
+
+    # --- vendor master: coverage = every vendor_id on an entry, plus the 5 decoys ---
+    instance_vendor_ids = sorted({str(e.header["vendor_id"]) for e in entries.values()})
+    decoy_vids_set = set(decoy_vids_all)
+    master_vendor_ids = sorted(set(instance_vendor_ids) | decoy_vids_set)
+
+    rng_bank = rng_for(TASK_ID, seed, "bank")
+    vendor_bank = {vid: f"BA-{rng_bank.randrange(10 ** 8):08d}" for vid in master_vendor_ids}
+    vendor_bank[shared_bank_vids[0]] = vendor_bank[sharedbank_target_id]
+    vendor_bank[shared_bank_vids[1]] = vendor_bank[sharedbank_target_id]
+    vendor_bank[decoy_shared_bank_vids[1]] = vendor_bank[decoy_shared_bank_vids[0]]
+
+    rng_addr = rng_for(TASK_ID, seed, "address")
+    vendor_address = {}
+    for vid in master_vendor_ids:
+        n = rng_addr.randint(100, 9999)
+        street = rng_addr.choice(STREET_NAMES)
+        vendor_address[vid] = f"{n} {street}"
+
+    rng_emp_addr = rng_for(TASK_ID, seed, "employee_addr")
+    employee_ids = [f"EMP-{i:03d}" for i in range(1, N_EMPLOYEES + 1)]
+    employees = {}
+    for i, eid in enumerate(employee_ids):
+        n = rng_emp_addr.randint(100, 9999)
+        street = rng_emp_addr.choice(STREET_NAMES)
+        employees[eid] = {"name": EMPLOYEE_NAMES[i], "address": f"{n} {street}"}
+    rng_emp_pick = rng_for(TASK_ID, seed, "employee_pick")
+    chosen_emps = pick(rng_emp_pick, employee_ids, 3)
+    vendor_address[employee_addr_vids[0]] = employees[chosen_emps[0]]["address"]
+    vendor_address[employee_addr_vids[1]] = employees[chosen_emps[1]]["address"]
+    vendor_address[decoy_employee_addr_vid] = employees[chosen_emps[2]]["address"]
+
+    rng_created = rng_for(TASK_ID, seed, "created")
+    in_period_ids = (round_set | set(shared_bank_vids) | set(employee_addr_vids)
+                     | set(name_sim_vids) | set(bid_vids) | set(decoy_shared_bank_vids)
+                     | {decoy_employee_addr_vid, decoy_name_sim_vid, decoy_created_vid})
+    vendor_created = {}
+    for vid in master_vendor_ids:
+        if vid in rapid_created:
+            vendor_created[vid] = rapid_created[vid]
+        elif vid in in_period_ids:
+            dd = rng_created.randint(1, 25)
+            vendor_created[vid] = f"{PERIOD_MONTH}-{dd:02d}"
+        else:
+            yr = rng_created.randint(2019, 2022)
+            mo = rng_created.randint(1, 12)
+            dd = rng_created.randint(1, 28)
+            vendor_created[vid] = f"{yr:04d}-{mo:02d}-{dd:02d}"
+
+    rng_vtype = rng_for(TASK_ID, seed, "vendor_type")
+    vendor_master = {}
+    for vid in master_vendor_ids:
+        name = synth_name_of.get(vid, vendor_name_real.get(vid, f"VENDOR {vid}"))
+        vendor_master[vid] = {
+            "name": name,
+            "vendor_type": rng_vtype.choice(VENDOR_TYPES),
+            "created": vendor_created[vid],
+            "bank_account": vendor_bank[vid],
+            "address": vendor_address[vid],
+        }
+
+    # --- request_info: answer presence must not be an oracle (spread benign
+    # templates across established AND round entries; only rapid vendors get
+    # the substantive answer, and those entries are already seeded defects
+    # regardless - "has an answer" alone stays a poor classifier) ---
+    established_pool_eids = sorted(
+        eid for eid, e in entries.items()
+        if str(e.header["vendor_id"]) not in round_set
+        and str(e.header["vendor_id"]) not in seeded_vids_all)
+    n_from_round = min(15, len(round_entry_ids))
+    n_from_established = N_INFO_BENIGN - n_from_round
+    if len(established_pool_eids) < n_from_established:
+        raise ValueError(f"seed {seed}: not enough established entries for info_responses")
+    rng_info_round = rng_for(TASK_ID, seed, "info_round")
+    rng_info_est = rng_for(TASK_ID, seed, "info_established")
+    benign_eids = (pick(rng_info_round, round_entry_ids, n_from_round)
+                  + pick(rng_info_est, established_pool_eids, n_from_established))
+    info_responses: dict[str, str] = {}
+    for i, eid in enumerate(sorted(benign_eids)):
+        info_responses[eid] = BENIGN_INFO_TEMPLATES[i % len(BENIGN_INFO_TEMPLATES)]
+    for eids in rapid_entries.values():
+        for eid in eids:
+            info_responses[eid] = RAPID_ANSWER
+
+    evidence_map = {d.entry_id: frozenset({d.revealing_evidence_id}) for d in defects}
+    inst = Instance(
+        task_id=TASK_ID, seed=seed,
+        entries=tuple(entries[k] for k in sorted(entries)),
+        documents=tuple(documents), policies={},
+        master_data={"vendor": vendor_master, "employee": employees},
+        info_responses=info_responses,
+    )
+    ho = HeldOut(defects=tuple(sorted(defects, key=lambda d: d.entry_id)),
+                required_docs=frozenset(), evidence_map=evidence_map)
+    ti = TaskInstance(inst, ho)
+    if out_dir is not None:
+        write_instance(ti, out_dir, task_spec_path=spec_task_path(TASK_ID),
+                       snapshot_id=snapshot_root.name, knobs={"n_entries": n_entries})
+    return ti

app/src/je_validation/generator/je15.py

@@ -0,0 +1,177 @@
+"""JE-15: population profiling via digit distribution. The spec's defect is
+DEPARTMENT-level: a whole department whose digit profile deviates. Within
+it, 7 "driving" entries carry the flag-target defect (fabricated_amounts,
+heavy {7,8,9}-leading-digit tail, 6-digit cent magnitudes) - but they are
+not the entirety of the signal. Every OTHER entry in that department also
+gets a mild seeded leading-digit reweighting (natural magnitude preserved,
+no per-entry tell), so the department's aggregate profile is off even
+though no individual entry beyond the 7 driving ones is itself defective
+(controller amendment 2026-08-12: a 7-entry injection into a ~41-entry
+department cannot reliably beat real per-department chi-square noise;
+whole-department reweighting is both truer to the spec's story and
+empirically reliable - see the module-level sweep note by
+test_guard_deviation_only_visible_after_segmentation in test_je15.py).
+
+Two other departments carry naturally skewed profiles for STRUCTURAL
+reasons (fixed-fee contracts, per-unit reimbursement at a set rate), each
+documented by a schedule doc attached to its summary row (JE-10
+summary-row pattern). The deviation is invisible pooled across the whole
+population and only isolable after segmenting by department (guard,
+pinned by test_guard_deviation_only_visible_after_segmentation).
+
+Construction: an OVERSIZED slice (n_entries * 4) is taken first so 9
+departments can each supply 41+ entries - a plain n_entries slice cannot
+(panel 2026-08-11, sol-pro/kimi convergent; same guidance as JE-11)."""
+from __future__ import annotations
+
+from pathlib import Path
+
+from je_validation.envir.instance import (
+    DefectRecord,
+    Entry,
+    HeldOut,
+    Instance,
+    TaskInstance,
+)
+from je_validation.generator.docgen.memos import fee_schedule_doc, rate_schedule_doc
+from je_validation.generator.l2common import augment, lift, with_amount
+from je_validation.generator.persist import spec_task_path, write_instance
+from je_validation.generator.seeding import pick, rng_for
+from je_validation.generator.slicing import slice_entries
+
+TASK_ID = "JE-15"
+DEFECT_COUNTS = {"digit_profile_deviation": 1, "fabricated_amounts": 7}
+SUMMARY_PREFIX = "JE15-DEPT-"
+N_DEPTS = 9
+N_DRIVING = 7
+# Driving entries (the flag targets): spec text says {5..9}; narrowed to
+# {7..9} (never the guard test) because real DS-A per-department chi-square
+# noise at n~41 is high enough that {5..9} alone never clears the guard's 2x
+# separation margin, empirically, across many seeds.
+_DRIVING_DIGITS = (7, 8, 9)
+# Mild whole-department reweighting (non-defective entries): a seeded
+# per-entry leading-digit draw favoring {7,8,9} over {1,2} at roughly a 3-4:1
+# weight ratio (digits 3-6 at an intermediate weight). Empirically (sweep of
+# seeds 1-59) this weighting clears the guard's margins on ALL of seeds 1-5
+# and 55/59 (93%) overall - see test_je15.py's ti fixture comment.
+_MILD_SKEW_DIGITS = (1, 2, 3, 4, 5, 6, 7, 8, 9)
+_MILD_SKEW_WEIGHTS = (1, 1, 2, 2, 2, 2, 4, 4, 4)
+
+
+def _releading(cents: int, digit: int) -> int:
+    """Replace only the leading digit of a positive cents value, keeping its
+    digit count (natural magnitude) and every other digit untouched - the
+    mild skew plants no per-entry tell beyond the shifted leading digit."""
+    s = str(cents)
+    return int(str(digit) + s[1:])
+
+
+def _summary_row(dept: str, template: Entry) -> Entry:
+    """Same header key set as sibling entries (query_ledger's field-validation
+    surface stays uniform); non-applicable keys filled with type-appropriate
+    constants, then the applicable ones overridden. Zero rows (lines=())
+    foot trivially - a no-evidence baseline stays safe."""
+    header = {k: (0 if isinstance(v, (int, float)) and not isinstance(v, bool) else "SUMMARY")
+             for k, v in template.header.items()}
+    header.update({"department": dept, "account": "SUMMARY", "period": 7,
+                  "amount": 0.0, "total_debit_cents": 0, "total_credit_cents": 0})
+    return Entry(entry_id=f"{SUMMARY_PREFIX}{dept}", header=header, lines=())
+
+
+def generate(seed: int, snapshot_root: Path, *, n_entries: int = 380,
+            out_dir: Path | None = None) -> TaskInstance:
+    dept_total = n_entries - N_DEPTS
+    per_dept, remainder = divmod(dept_total, N_DEPTS)
+
+    base = augment([lift(e, "account", "department")
+                    for e in slice_entries(snapshot_root, task_id=TASK_ID, seed=seed,
+                                           n_entries=n_entries * 4)],
+                   period=7)
+    by_id = {e.entry_id: e for e in base}
+    by_dept: dict[str, list[str]] = {}
+    for e in base:
+        by_dept.setdefault(e.header["department"], []).append(e.entry_id)
+
+    # 9 largest departments (count desc, name asc tiebreak - total order for
+    # determinism), each must reach the per-department floor.
+    ranked = sorted(by_dept, key=lambda d: (-len(by_dept[d]), d))
+    qualifying = [d for d in ranked if len(by_dept[d]) >= per_dept]
+    if len(qualifying) < N_DEPTS:
+        raise ValueError(
+            f"seed {seed}: only {len(qualifying)} department(s) reach "
+            f"{per_dept} entries in an oversized slice of {n_entries * 4}; "
+            f"need {N_DEPTS} (generator convention: fail, never degrade)")
+    selected = sorted(qualifying[:N_DEPTS])
+    extra = set(selected[:remainder])
+    target = {d: per_dept + (1 if d in extra else 0) for d in selected}
+
+    rng = rng_for(TASK_ID, seed, "defects")
+    fab_dept = pick(rng, selected, 1)[0]
+    remaining = sorted(set(selected) - {fab_dept})
+    fixed_dept, per_unit_dept = sorted(pick(rng, remaining, 2))
+
+    chosen: dict[str, list[str]] = {
+        d: sorted(pick(rng, sorted(by_dept[d]), target[d])) for d in selected
+    }
+
+    driving = set(pick(rng, chosen[fab_dept], N_DRIVING))
+    for eid in sorted(driving):
+        digit = rng.choice(_DRIVING_DIGITS)
+        cents = digit * 100_000 + rng.randint(0, 99_999)
+        by_id[eid] = with_amount(by_id[eid], cents)
+
+    # Mild reweighting of every OTHER entry in the fabricated department:
+    # own seeded stream (independent of "defects") so this addition never
+    # perturbs the driving/structural draws above or below. Sorted iteration
+    # for byte-identity.
+    rng_digits = rng_for(TASK_ID, seed, "digits")
+    for eid in sorted(set(chosen[fab_dept]) - driving):
+        natural = by_id[eid].header["total_debit_cents"]
+        digit = rng_digits.choices(_MILD_SKEW_DIGITS, weights=_MILD_SKEW_WEIGHTS, k=1)[0]
+        by_id[eid] = with_amount(by_id[eid], _releading(natural, digit))
+
+    for eid in chosen[fixed_dept]:
+        by_id[eid] = with_amount(by_id[eid], 250_000)
+    for eid in chosen[per_unit_dept]:
+        k = rng.randint(1, 40)
+        by_id[eid] = with_amount(by_id[eid], k * 12_500)
+
+    dept_entries = [by_id[eid] for d in selected for eid in chosen[d]]
+    dept_entries.sort(key=lambda e: e.entry_id)
+    template = dept_entries[0]
+    summaries = [_summary_row(d, template) for d in selected]
+
+    fab_summary = f"{SUMMARY_PREFIX}{fab_dept}"
+    defects = [DefectRecord(fab_summary, "digit_profile_deviation", None, "flag")]
+    defects += [DefectRecord(eid, "fabricated_amounts", None, "flag")
+               for eid in sorted(driving)]
+    defects.sort(key=lambda d: d.entry_id)
+
+    fee_doc_id, rate_doc_id = f"JE15-FEE-{fixed_dept}", f"JE15-RATE-{per_unit_dept}"
+    fixed_summary, per_unit_summary = (f"{SUMMARY_PREFIX}{fixed_dept}",
+                                       f"{SUMMARY_PREFIX}{per_unit_dept}")
+    docs = (
+        fee_schedule_doc(doc_id=fee_doc_id, entry_id=fixed_summary,
+                         f={"department": fixed_dept, "effective": "2024-01-01",
+                            "fee_cents": 250_000,
+                            "basis_text": "Fixed engagement fee per posting, "
+                                          "independent of billed hours or units."}),
+        rate_schedule_doc(doc_id=rate_doc_id, entry_id=per_unit_summary,
+                          f={"department": per_unit_dept, "effective": "2024-01-01",
+                             "unit_rate_cents": 12_500, "unit_name": "unit",
+                             "basis_text": "Reimbursed per unit at the posted "
+                                           "rate; unit counts vary by engagement."}),
+    )
+    evidence = {fixed_summary: frozenset({fee_doc_id}),
+               per_unit_summary: frozenset({rate_doc_id})}
+
+    entries = sorted(dept_entries + summaries, key=lambda e: e.entry_id)
+    inst = Instance(task_id=TASK_ID, seed=seed, entries=tuple(entries),
+                    documents=docs, policies={}, master_data={})
+    ho = HeldOut(defects=tuple(defects), required_docs=frozenset({fee_doc_id, rate_doc_id}),
+                evidence_map=evidence, claims={})
+    ti = TaskInstance(inst, ho)
+    if out_dir is not None:
+        write_instance(ti, out_dir, task_spec_path=spec_task_path(TASK_ID),
+                       snapshot_id=snapshot_root.name, knobs={"n_entries": n_entries})
+    return ti

app/src/je_validation/generator/l2common.py

@@ -28,3 +28,43 @@ def augment(entries: list[Entry], period: int) -> list[Entry]:
                   "amount": round(amount_of(e) / 100, 2)}
         out.append(dataclasses.replace(e, header=header))
     return out
+
+
+def lift(e: Entry, *fields: str, leg: str = "D") -> Entry:
+    """Copy line-level coding fields (account, department, program) onto the
+    header so ledger-row tools can filter/group on them."""
+    line = next(ln for ln in e.lines if ln["side"] == leg)
+    return dataclasses.replace(
+        e, header={**e.header, **{f: line[f] for f in fields}})
+
+
+def with_amount(e: Entry, total_cents: int) -> Entry:
+    """Rewrite an entry to a new footing total. BOTH sides scale
+    proportionally, integer remainder on each side's last leg (postingise
+    emits a single credit leg today, but this helper must stay correct if
+    that ever changes - panel 2026-08-11). Callers rewrite amounts, never
+    structure - the entry still foots, so no surface tell exists."""
+    if total_cents <= 0:
+        raise ValueError(f"with_amount needs a positive total: {total_cents}")
+    if "signed_amount_cents" in e.header:
+        raise ValueError("with_amount does not handle signed entries")
+
+    def scaled(side):
+        legs = [ln for ln in e.lines if ln["side"] == side]
+        old = sum(ln["amount_cents"] for ln in legs)
+        out, running = {}, 0
+        for i, ln in enumerate(legs):
+            cents = (total_cents - running if i == len(legs) - 1
+                     else total_cents * ln["amount_cents"] // old)
+            running += cents
+            out[id(ln)] = cents
+        return out
+
+    new_amount = {**scaled("D"), **scaled("C")}
+    new_lines = tuple({**ln, "amount_cents": new_amount[id(ln)]}
+                      for ln in e.lines)
+    header = {**e.header, "total_debit_cents": total_cents,
+              "total_credit_cents": total_cents}
+    if "amount" in header:
+        header["amount"] = round(total_cents / 100, 2)
+    return dataclasses.replace(e, header=header, lines=new_lines)

app/src/je_validation/generator/persist.py

@@ -61,6 +61,8 @@ def write_instance(ti: TaskInstance, out_dir: Path, *, task_spec_path: Path,
                 (dataclasses.asdict(d) for d in inst.documents))
     _dump(out_dir / "instance" / "master_data.json", inst.master_data)
     _dump(out_dir / "instance" / "policies.json", inst.policies)
+    if inst.info_responses:
+        _dump(out_dir / "instance" / "info_responses.json", inst.info_responses)
     _dump(out_dir / "heldout" / "defect_ledger.json", {
         "defects": [dataclasses.asdict(d) for d in ho.defects],
         "required_docs": sorted(ho.required_docs),
@@ -100,6 +102,9 @@ def read_public_instance(bundle_dir: Path) -> Instance:
         documents=documents,
         policies=json.loads((bundle_dir / "policies.json").read_text(encoding="utf-8")),
         master_data=json.loads((bundle_dir / "master_data.json").read_text(encoding="utf-8")),
+        info_responses=(json.loads((bundle_dir / "info_responses.json")
+                                   .read_text(encoding="utf-8"))
+                        if (bundle_dir / "info_responses.json").exists() else {}),
     )
 
 

app/src/je_validation/generator/slicing.py

@@ -15,7 +15,9 @@ from je_validation.postingiser.enrich import enrich_headers
 
 def slice_entries(snapshot_root: Path, *, task_id: str, seed: int, n_entries: int,
                   fiscal_year: int = 2024, period: int = 7,
-                  period_month: str = "2024-01", min_lines: int = 1) -> list[Entry]:
+                  period_month: str = "2024-01", min_lines: int = 1,
+                  preserve_posting_time: bool = False,
+                  extra_header_fields: tuple[str, ...] = ()) -> list[Entry]:
     df = (
         scan_ds_a(snapshot_root, fiscal_years=[fiscal_year])
         .filter(pl.col("fiscal_year_period") == period)
@@ -40,6 +42,15 @@ def slice_entries(snapshot_root: Path, *, task_id: str, seed: int, n_entries: in
                              depts, task_id=task_id, seed=seed)
     lines = lines.filter(pl.col("entry_id").is_in(sorted(chosen)))
 
+    if extra_header_fields:
+        extra = (
+            df.with_columns((pl.col("fiscal_year").cast(pl.String) + "-"
+                             + pl.col("payment_id")).alias("entry_id"))
+            .group_by("entry_id")
+            .agg([pl.col(f).first() for f in extra_header_fields])
+        )
+        headers = headers.join(extra, on="entry_id", how="left")
+
     line_map: dict[str, list[dict]] = {}
     for r in lines.sort("entry_id", "line_seq").iter_rows(named=True):
         line_map.setdefault(r.pop("entry_id"), []).append(r)
@@ -60,10 +71,19 @@ def slice_entries(snapshot_root: Path, *, task_id: str, seed: int, n_entries: in
         post_day = min(settle_day + rng_dates.randint(0, 3), 28)
         header["transaction_date"] = f"{period_month}-{tx_day:02d}"
         header["settlement_date"] = f"{period_month}-{settle_day:02d}"
-        header["posting_ts"] = (
-            f"{period_month}-{post_day:02d}"
-            f"T{rng_dates.randint(7, 18):02d}:{rng_dates.randint(0, 59):02d}:00."
-            f"{rng_dates.randint(0, 999999):06d}"
-        )
+        # preserve_posting_time is a per-task constant (a task either always
+        # preserves or never does), so both branches draw the same 3
+        # tx/settle/post day values from rng_dates above; only the source of
+        # the time-of-day differs (3 extra draws in the non-preserve branch).
+        # Cross-seed byte-identity within a task holds either way.
+        if preserve_posting_time:
+            real_time = header["posting_ts"].split("T")[1]
+            header["posting_ts"] = f"{period_month}-{post_day:02d}T{real_time}"
+        else:
+            header["posting_ts"] = (
+                f"{period_month}-{post_day:02d}"
+                f"T{rng_dates.randint(7, 18):02d}:{rng_dates.randint(0, 59):02d}:00."
+                f"{rng_dates.randint(0, 999999):06d}"
+            )
         entries.append(Entry(entry_id=eid, header=header, lines=tuple(line_map[eid])))
     return entries

app/src/je_validation/scoring/gates.py

@@ -9,35 +9,22 @@ steps and agent-visible instance data; heldout never enters here.
 from __future__ import annotations
 
 import re
-from dataclasses import dataclass, field
 
 from je_validation.envir.instance import Instance
 from je_validation.envir.trajectory import StepRecord
+
+# GateResult/_dget/_ok_steps live in gates_common (shared with gates_l3,
+# which this module imports below); re-exported here for existing callers.
+from je_validation.scoring.gates_common import GateResult, _dget, _ok_steps
 from je_validation.scoring.outcome import FLAGGING
 
 _MONEY = re.compile(r"\$([\d,]+\.\d{2})")
 
 
-@dataclass(frozen=True)
-class GateResult:
-    rate: float
-    detail: dict = field(compare=False, default_factory=dict)
-
-
-def _ok_steps(steps: list[StepRecord]):
-    return [s for s in steps if s.ok]
-
-
 def _is_flag(s: StepRecord) -> bool:
     return s.tool == "disposition" and s.args.get("verdict") in FLAGGING
 
 
-def _dget(d, key):
-    """Disposition field access: production passes state.Disposition objects,
-    tests pass plain dicts (same duality as verifiers._get)."""
-    return d[key] if isinstance(d, dict) else getattr(d, key)
-
-
 def _token_in(token: str, expr: str) -> bool:
     """Whole-numeric-token match: plain substring would let entry amount 100
     "match" expression "1000-900"."""
@@ -339,7 +326,8 @@ def je10_account_aggregate(steps: list[StepRecord], dispositions: dict,
     b_flagged = b_supported = 0
     for s in _ok_steps(steps):
         if s.tool == "aggregate":
-            if s.args.get("group_by") == "account":
+            gb = s.args.get("group_by")
+            if gb == "account" or (isinstance(gb, list) and "account" in gb):
                 grouped = True
             acct = (s.args.get("filters") or {}).get("account")
             if acct is not None:
@@ -402,6 +390,20 @@ GATES = {
     "JE-10": je10_account_aggregate,
 }
 
+from je_validation.scoring.gates_l3 import (  # noqa: E402
+    je11_policy_before_flag,
+    je12_baseline_and_roles,
+    je13_joint_aggregate,
+    je14_vendor_master,
+    je15_digit_profile,
+)
+
+GATES.update({
+    "JE-11": je11_policy_before_flag, "JE-12": je12_baseline_and_roles,
+    "JE-13": je13_joint_aggregate, "JE-14": je14_vendor_master,
+    "JE-15": je15_digit_profile,
+})
+
 
 def gate_for(task_id: str):
     try:

app/src/je_validation/scoring/gates_common.py

@@ -0,0 +1,25 @@
+"""Shared gate primitives used by both gates.py (L1/L2) and gates_l3.py
+(L3). Split out to avoid a circular import: gates_l3 needs these, and
+gates.py needs gates_l3 (late import, to register JE-11..15 in GATES)."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+from je_validation.envir.trajectory import StepRecord
+
+
+@dataclass(frozen=True)
+class GateResult:
+    rate: float
+    detail: dict = field(compare=False, default_factory=dict)
+
+
+def _ok_steps(steps: list[StepRecord]):
+    return [s for s in steps if s.ok]
+
+
+def _dget(d, key):
+    """Disposition field access: production passes state.Disposition objects,
+    tests pass plain dicts (same duality as verifiers._get)."""
+    return d[key] if isinstance(d, dict) else getattr(d, key)

app/src/je_validation/scoring/gates_l3.py

@@ -0,0 +1,112 @@
+"""L3 process gates (JE-11..15). Same contract as gates.py: a gate returns a
+rate in [0,1] that multiplies the process component; it reads only ok steps
+(master-data lookups count attempts — JE-02 precedent) and agent-visible
+instance data. HeldOut never enters this module. Factors multiply.
+Registered in gates.GATES by the Phase 5 registration wave."""
+from __future__ import annotations
+
+from je_validation.envir.instance import Instance
+from je_validation.envir.trajectory import StepRecord
+from je_validation.scoring.gates_common import GateResult, _dget, _ok_steps
+from je_validation.scoring.outcome import FLAGGING
+
+__all__ = ["GateResult", "Instance", "StepRecord", "_dget", "_ok_steps",
+           "FLAGGING"]
+
+
+def je11_policy_before_flag(steps: list[StepRecord], dispositions: dict,
+                            instance: Instance) -> GateResult:
+    """Per-flag, order-sensitive: a threshold claim (any flag/reject in this
+    task) needs the approval-limits policy read EARLIER in the episode."""
+    have = False
+    flags = supported = 0
+    for s in _ok_steps(steps):
+        if s.tool == "get_policy" and s.args.get("topic") == "approval_limits":
+            have = True
+        elif s.tool == "disposition" and s.args.get("verdict") in FLAGGING:
+            flags += 1
+            supported += have
+    return GateResult(supported / flags if flags else 1.0,
+                      {"flags": flags, "with_policy": supported})
+
+
+def je14_vendor_master(steps, dispositions, instance):
+    vendor_of = {e.entry_id: str(e.header.get("vendor_id"))
+                 for e in instance.entries}
+    looked = {str(s.args.get("id")) for s in steps
+              if s.tool == "get_master_data" and s.args.get("type") == "vendor"}
+    flagged_vendors = sorted({vendor_of[eid] for eid, d in dispositions.items()
+                              if _dget(d, "verdict") in FLAGGING
+                              and eid in vendor_of})
+    if not flagged_vendors:
+        return GateResult(1.0, {"flagged_vendors": 0})
+    sup = sum(v in looked for v in flagged_vendors)
+    return GateResult(sup / len(flagged_vendors),
+                      {"flagged_vendors": len(flagged_vendors),
+                       "with_lookup": sup})
+
+
+def je15_digit_profile(steps, dispositions, instance):
+    """Order-free (spec names no ordering; c4 rule): a first_digit
+    aggregate anywhere in the episode supports all summary-row flags."""
+    have = any(s.tool == "aggregate" and s.args.get("metric") == "first_digit"
+               for s in _ok_steps(steps))
+    flags = sum(1 for eid, d in dispositions.items()
+                if _dget(d, "verdict") in FLAGGING
+                and str(eid).startswith("JE15-DEPT-"))
+    if not flags:
+        return GateResult(1.0, {"summary_flags": 0})
+    return GateResult(1.0 if have else 0.0,
+                      {"summary_flags": flags, "digit_profile_called": have})
+
+
+_JOINT_ATTRS = frozenset(
+    {"account", "department", "vendor_type", "expense_category"})
+
+
+def je13_joint_aggregate(steps: list[StepRecord], dispositions: dict,
+                         instance: Instance) -> GateResult:
+    """0/1, vacuous-safe -- indivisible core action (JE-07 precedent): at
+    least one aggregate call groups by >= 2 anomaly ATTRS in one call (a
+    ["entry_id", "period"] call is not joint analysis -- panel, sol-pro)."""
+    if not dispositions:
+        return GateResult(1.0, {"vacuous": True})
+    multi = any(s.tool == "aggregate"
+               and isinstance(s.args.get("group_by"), list)
+               and len(set(s.args["group_by"]) & _JOINT_ATTRS) >= 2
+               for s in _ok_steps(steps))
+    return GateResult(1.0 if multi else 0.0,
+                      {"multi_attribute_aggregate": multi})
+
+
+def je12_baseline_and_roles(steps: list[StepRecord], dispositions: dict,
+                            instance: Instance) -> GateResult:
+    """baseline factor (order-sensitive per spec text, per flag: an earlier
+    ok aggregate grouped by a posting-behaviour field -- content-linked)
+    x role factor (order-free: role_violation flags need a get_master_data
+    attempt on that entry's preparer -- attempts count, JE-02 precedent)."""
+    prep_of = {e.entry_id: str(e.header.get("preparer_id"))
+               for e in instance.entries}
+    have = False
+    flags = b_sup = 0
+    for s in _ok_steps(steps):
+        if s.tool == "aggregate":
+            gb = s.args.get("group_by")
+            gbs = {gb} if isinstance(gb, str) else set(gb or ())
+            if gbs & {"preparer_id", "entry_source"}:
+                have = True
+        elif s.tool == "disposition" and s.args.get("verdict") in FLAGGING:
+            flags += 1
+            b_sup += have
+    b_rate = b_sup / flags if flags else 1.0
+    looked = {str(s.args.get("id")) for s in steps
+              if s.tool == "get_master_data" and s.args.get("type") == "user"}
+    rv = [eid for eid, d in dispositions.items()
+          if _dget(d, "verdict") in FLAGGING
+          and _dget(d, "issue_type") == "role_violation"]
+    r_rate = (sum(prep_of.get(e) in looked for e in rv) / len(rv)) if rv else 1.0
+    return GateResult(b_rate * r_rate,
+                      {"flags": flags, "with_baseline": b_sup,
+                       "role_flags": len(rv),
+                       "with_user_lookup": sum(prep_of.get(e) in looked
+                                               for e in rv)})

app/src/je_validation/scoring/task_scoring.py

@@ -26,10 +26,15 @@ from je_validation.scoring.verifiers import je07 as v07
 from je_validation.scoring.verifiers import je08 as v08
 from je_validation.scoring.verifiers import je09 as v09
 from je_validation.scoring.verifiers import je10 as v10
+from je_validation.scoring.verifiers import je11 as v11
+from je_validation.scoring.verifiers import je12 as v12
+from je_validation.scoring.verifiers import je13 as v13
+from je_validation.scoring.verifiers import je14 as v14
+from je_validation.scoring.verifiers import je15 as v15
 
 _PLAIN = {"JE-01": v01.verify, "JE-02": v02.verify, "JE-05": v05.verify,
           "JE-06": v06.verify, "JE-07": v07.verify, "JE-08": v08.verify,
-          "JE-09": v09.verify, "JE-10": v10.verify}
+          "JE-09": v09.verify, "JE-10": v10.verify, "JE-13": v13.verify}
 
 
 def episode_verdict(task_id: str, dispositions: dict, entry_ids: list[str],
@@ -44,6 +49,31 @@ def episode_verdict(task_id: str, dispositions: dict, entry_ids: list[str],
                             if d.doc_type == "void_reissue_memo")
         return v04.verify(dispositions, entry_ids, ti.heldout,
                           reissue_ids=reissue, seen=seen)
+    if task_id == "JE-11":
+        instalment = frozenset(d.entry_id for d in ti.instance.documents
+                               if d.doc_type == "contract")
+        return v11.verify(dispositions, entry_ids, ti.heldout,
+                          instalment_ids=instalment)
+    if task_id == "JE-12":
+        users = ti.instance.master_data["user"]
+        sys_users = {u for u, r in users.items() if r.get("system_account")}
+        system_ids = frozenset(e.entry_id for e in ti.instance.entries
+                               if e.header.get("preparer_id") in sys_users)
+        return v12.verify(dispositions, entry_ids, ti.heldout,
+                          system_ids=system_ids)
+    if task_id == "JE-14":
+        vendor_of = {e.entry_id: str(e.header.get("vendor_id"))
+                     for e in ti.instance.entries}
+        return v14.verify(dispositions, entry_ids, ti.heldout,
+                          vendor_of=vendor_of)
+    if task_id == "JE-15":
+        sched = {}
+        for d in ti.instance.documents:
+            if d.doc_type in ("fee_schedule", "rate_schedule"):
+                sched.setdefault(d.entry_id, set()).add(d.doc_id)
+        return v15.verify(dispositions, entry_ids, ti.heldout,
+                          schedule_docs={k: frozenset(v)
+                                         for k, v in sched.items()})
     try:
         verify = _PLAIN[task_id]
     except KeyError:
@@ -76,6 +106,7 @@ def score_task_episode(trajectory_path: Path, ti: TaskInstance, config: RunConfi
     return score_episode(trajectory_path, ti, config,
                          rationale=rationale, judge_pass=judge_pass,
                          hard_fail=verdict.hard_fail,
+                         task_auto_fail=verdict.auto_fail,
                          outcome_override=verdict.outcome,
                          process_gate=gate.rate,
                          citable=citable,

app/src/je_validation/scoring/verifiers/__init__.py

@@ -15,6 +15,8 @@ from je_validation.scoring.outcome import FLAGGING
 class OutcomeVerdict:
     outcome: float
     hard_fail: bool
+    auto_fail: bool = False   # precision floor missed etc.: passed=False,
+                              # components preserved (fabrication shape)
     detail: dict = field(compare=False, default_factory=dict)
 
 

app/src/je_validation/scoring/verifiers/je02.py

@@ -17,5 +17,5 @@ def verify(dispositions: dict, entry_ids: Iterable[str], heldout) -> OutcomeVerd
     wrong = {e for e in flagged & set(seeded) if issue_of(dispositions, e) != seeded[e]}
     exact = not fps and not misses and not wrong
     return OutcomeVerdict(1.0 if exact else 0.0, False,
-                          {"false_positives": len(fps), "missed": sorted(misses),
-                           "wrong_issue_type": sorted(wrong)})
+                          detail={"false_positives": len(fps), "missed": sorted(misses),
+                                  "wrong_issue_type": sorted(wrong)})

app/src/je_validation/scoring/verifiers/je03.py

@@ -18,6 +18,6 @@ def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
     hard_fail = bool(flagged_exceptions)
     exact = not fps and not misses and not wrong
     return OutcomeVerdict(0.0 if hard_fail or not exact else 1.0, hard_fail,
-                          {"flagged_exceptions": sorted(flagged_exceptions),
-                           "false_positives": len(fps), "missed": sorted(misses),
-                           "wrong_issue_type": sorted(wrong)})
+                          detail={"flagged_exceptions": sorted(flagged_exceptions),
+                                  "false_positives": len(fps), "missed": sorted(misses),
+                                  "wrong_issue_type": sorted(wrong)})

app/src/je_validation/scoring/verifiers/je04.py

@@ -15,7 +15,8 @@ def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
     seeded = {d.entry_id: d.revealing_evidence_id for d in heldout.defects}
     flagged = flagged_ids(dispositions) & id_set
     if flagged & reissue_ids:
-        return OutcomeVerdict(0.0, True, {"flagged_reissue": sorted(flagged & reissue_ids)})
+        return OutcomeVerdict(0.0, True,
+                              detail={"flagged_reissue": sorted(flagged & reissue_ids)})
 
     def names_counterpart(eid: str) -> bool:
         stated = _get(dispositions[eid], "counterpart_entry_id")
@@ -26,4 +27,4 @@ def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
     precision = len(tps) / len(flagged) if flagged else 0.0
     recall = len(tps) / len(seeded)
     return OutcomeVerdict(precision * recall, False,
-                          {"tp": len(tps), "fp": len(fps), "seeded": len(seeded)})
+                          detail={"tp": len(tps), "fp": len(fps), "seeded": len(seeded)})

app/src/je_validation/scoring/verifiers/je05.py

@@ -17,5 +17,5 @@ def verify(dispositions: dict, entry_ids: Iterable[str], heldout) -> OutcomeVerd
     wrong = {e for e in flagged & set(seeded) if issue_of(dispositions, e) != seeded[e]}
     exact = not fps and not misses and not wrong
     return OutcomeVerdict(1.0 if exact else 0.0, False,
-                          {"false_positives": len(fps), "missed": sorted(misses),
-                           "wrong_issue_type": sorted(wrong)})
+                          detail={"false_positives": len(fps), "missed": sorted(misses),
+                                  "wrong_issue_type": sorted(wrong)})

app/src/je_validation/scoring/verifiers/je11.py

@@ -0,0 +1,62 @@
+"""JE-11: split groups scored by per-member Jaccard against seeded groups
+(HeldOut.claims split_group vs [claim:split_group=N] labels); instalment
+false positives weighted double; precision floor 0.7 -> auto_fail (passed
+False, components preserved)."""
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from je_validation.scoring.claims import claims_of
+from je_validation.scoring.verifiers import OutcomeVerdict, f1_stats, flagged_ids, issue_of
+
+PRECISION_FLOOR = 0.7
+
+
+def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
+           instalment_ids: frozenset[str]) -> OutcomeVerdict:
+    ids = set(entry_ids)
+    seeded = {d.entry_id: d.defect_type for d in heldout.defects}
+    seeded_groups: dict[str, frozenset[str]] = {}
+    by_g: dict[int, set[str]] = {}
+    for eid, c in heldout.claims.items():
+        by_g.setdefault(c["split_group"], set()).add(eid)
+    for members in by_g.values():
+        for eid in members:
+            seeded_groups[eid] = frozenset(members)
+
+    flagged = flagged_ids(dispositions) & ids
+    claimed: dict[int, set[str]] = {}
+    for eid in flagged:
+        g = claims_of(dispositions, eid).get("split_group")
+        if g is not None:
+            claimed.setdefault(g, set()).add(eid)
+    claimed_of = {eid: frozenset(m) for m in claimed.values() for eid in m}
+
+    tp = fp = 0
+    credit = 0.0
+    for eid in sorted(flagged):
+        if eid not in seeded:
+            fp += 1
+            continue
+        tp += 1
+        want = seeded[eid]
+        if issue_of(dispositions, eid) != want:
+            continue
+        if want == "threshold_hugging":
+            credit += 1.0
+        else:
+            mine = claimed_of.get(eid, frozenset({eid}))
+            ref = seeded_groups[eid]
+            credit += len(mine & ref) / len(mine | ref)
+    fn = len(set(seeded) & ids) - tp
+    instalment_fp = len(flagged & instalment_ids)
+    denom = tp + fp + instalment_fp
+    p_w = tp / denom if denom else 0.0
+    _, recall, _ = f1_stats(tp, fp, fn)
+    f1_w = (2 * p_w * recall / (p_w + recall)) if p_w + recall else 0.0
+    acc = credit / tp if tp else 0.0
+    return OutcomeVerdict(
+        outcome=f1_w * acc, hard_fail=False,
+        auto_fail=bool(tp + fp) and p_w < PRECISION_FLOOR,
+        detail={"precision": p_w, "recall": recall, "tp": tp, "fp": fp,
+                "instalment_fp": instalment_fp, "group_credit": acc})

app/src/je_validation/scoring/verifiers/je12.py

@@ -0,0 +1,22 @@
+"""JE-12: F1 x issue-type accuracy; flagging any automated-interface entry
+(system_account user) is a hard fail -- the id is in the agent-visible user
+master, so the check is one lookup away (spec verifier line 2)."""
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from je_validation.scoring.outcome import build_confusion, outcome_score
+from je_validation.scoring.verifiers import OutcomeVerdict, flagged_ids
+
+
+def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
+           system_ids: frozenset[str]) -> OutcomeVerdict:
+    ids = set(entry_ids)
+    hit = flagged_ids(dispositions) & system_ids & ids
+    if hit:
+        return OutcomeVerdict(0.0, hard_fail=True,
+                              detail={"system_flagged": sorted(hit)})
+    cm = build_confusion(dispositions, entry_ids, heldout)
+    return OutcomeVerdict(outcome_score(cm), hard_fail=False,
+                          detail={"tp": cm.tp, "fp": cm.fp, "fn": cm.fn,
+                                  "issue_type_accuracy": cm.issue_type_accuracy})

app/src/je_validation/scoring/verifiers/je13.py

@@ -0,0 +1,29 @@
+"""JE-13: ranked anomaly detection. precision@10 over the agent's
+[claim:anomaly_rank=N] ordering (unranked flags sort last, then entry_id),
+recall of the 12 seeded anomalies, local/global distinction via issue_type."""
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from je_validation.scoring.claims import claims_of
+from je_validation.scoring.verifiers import OutcomeVerdict, flagged_ids, issue_of
+
+_UNRANKED = 10 ** 9
+
+
+def verify(dispositions: dict, entry_ids: Iterable[str], heldout) -> OutcomeVerdict:
+    ids = set(entry_ids)
+    seeded = {d.entry_id: d.defect_type for d in heldout.defects}
+    flagged = flagged_ids(dispositions) & ids
+    ranked = sorted(flagged, key=lambda e: (
+        claims_of(dispositions, e).get("anomaly_rank", _UNRANKED), e))
+    # ALWAYS /10: unfilled top-10 slots are misses (panel 2026-08-11)
+    p10 = sum(e in seeded for e in ranked[:10]) / 10
+    tp_ids = flagged & set(seeded)
+    recall = len(tp_ids) / len(seeded)
+    acc = (sum(issue_of(dispositions, e) == seeded[e] for e in tp_ids)
+           / len(tp_ids)) if tp_ids else 0.0
+    return OutcomeVerdict(
+        outcome=(0.5 * p10 + 0.5 * recall) * acc, hard_fail=False,
+        detail={"p_at_10": p10, "recall": recall, "tp": len(tp_ids),
+                "fp": len(flagged) - len(tp_ids)})

app/src/je_validation/scoring/verifiers/je14.py

@@ -0,0 +1,37 @@
+"""JE-14: vendor-level scoring. Entry flags roll up to vendors via the
+agent-visible vendor_id header; indicator = the vendor's defect type; the
+0.6 precision floor auto-fails the pass verdict without zeroing components."""
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from je_validation.scoring.verifiers import OutcomeVerdict, f1_stats, flagged_ids, issue_of
+
+PRECISION_FLOOR = 0.6
+
+
+def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
+           vendor_of: dict[str, str]) -> OutcomeVerdict:
+    ids = set(entry_ids)
+    seeded_vendor: dict[str, str] = {}
+    for d in heldout.defects:
+        seeded_vendor[vendor_of[d.entry_id]] = d.defect_type
+    flagged_entries = flagged_ids(dispositions) & ids
+    flagged_vendors = {vendor_of[e] for e in flagged_entries if e in vendor_of}
+    tp_v = flagged_vendors & set(seeded_vendor)
+    fp = len(flagged_vendors) - len(tp_v)
+    fn = len(seeded_vendor) - len(tp_v)
+    precision, recall, f1 = f1_stats(len(tp_v), fp, fn)
+    correct = 0
+    for v in tp_v:
+        want = seeded_vendor[v]
+        if any(issue_of(dispositions, e) == want
+               for e in flagged_entries if vendor_of.get(e) == v):
+            correct += 1
+    acc = correct / len(tp_v) if tp_v else 0.0
+    return OutcomeVerdict(
+        outcome=f1 * acc, hard_fail=False,
+        auto_fail=bool(flagged_vendors) and precision < PRECISION_FLOOR,
+        detail={"precision": precision, "recall": recall,
+                "tp_vendors": len(tp_v), "fp_vendors": fp,
+                "indicator_accuracy": acc})

app/src/je_validation/scoring/verifiers/je15.py

@@ -0,0 +1,41 @@
+"""JE-15: population profiling. The deliverable is the fabricated department
+(summary row) AND the driving entries; structural departments must be
+explained (approved citing their schedule doc), not flagged. Statistic-only
+runs cap at 1/3 of outcome (spec)."""
+from __future__ import annotations
+
+from collections.abc import Iterable
+
+from je_validation.scoring.verifiers import OutcomeVerdict, _get, flagged_ids, issue_of
+
+SUMMARY_PREFIX = "JE15-DEPT-"
+
+
+def verify(dispositions: dict, entry_ids: Iterable[str], heldout, *,
+           schedule_docs: dict[str, frozenset[str]]) -> OutcomeVerdict:
+    ids = set(entry_ids)
+    fab_summary = next(d.entry_id for d in heldout.defects
+                       if d.defect_type == "digit_profile_deviation")
+    driving = {d.entry_id for d in heldout.defects
+               if d.defect_type == "fabricated_amounts"}
+    flagged = flagged_ids(dispositions) & ids
+    found = int(fab_summary in flagged
+                and issue_of(dispositions, fab_summary)
+                == "digit_profile_deviation")
+    driving_hits = {e for e in flagged & driving
+                    if issue_of(dispositions, e) == "fabricated_amounts"}
+    entry_credit = min(1.0, len(driving_hits) / 5)
+    structural_ok = 0
+    for sid, docs in sorted(schedule_docs.items()):
+        d = dispositions.get(sid)
+        if d is None or sid in flagged:
+            continue
+        if _get(d, "verdict") == "approve" and set(_get(d, "evidence_ids")) & docs:
+            structural_ok += 1
+    outcome = found * (1 / 3 + 2 / 3 * entry_credit) \
+        * (0.7 + 0.15 * structural_ok)
+    return OutcomeVerdict(
+        outcome=outcome, hard_fail=False,
+        detail={"found_department": bool(found),
+                "driving_flagged": len(driving_hits),
+                "structural_ok": structural_ok})

data/runs/console/c5-grid-je01/deepseek_deepseek-v4-flash/seed3/score.json

@@ -1,16 +0,0 @@
-{
-  "outcome": 0.0,
-  "process": 0.3333333333333333,
-  "rationale": null,
-  "combined": 0.037037037037037035,
-  "fp_rate": 0.0,
-  "fp_penalty": 0.0,
-  "final": 0.037037037037037035,
-  "fabrications": [],
-  "auto_fail": false,
-  "hard_fail": false,
-  "judge_pass": null,
-  "passed": null,
-  "judge": "absent",
-  "cost_usd": 0.39998567448000016
-}

data/runs/console/c5-grid-je02/baseline_flag_everything/seed1/JE-02_seed1.jsonl

@@ -1,62 +0,0 @@
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data/runs/console/c5-grid-je02/baseline_flag_everything/seed2/JE-02_seed2.jsonl

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data/runs/console/c5-grid-je02/baseline_flag_everything/seed3/JE-02_seed3.jsonl

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data/runs/console/c5-grid-je02/baseline_flag_everything/seed4/JE-02_seed4.jsonl

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data/runs/console/c5-grid-je02/baseline_flag_everything/seed5/JE-02_seed5.jsonl

@@ -1,62 +0,0 @@
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data/runs/console/c5-grid-je02/baseline_no_evidence/seed1/score.json

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-{
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-  "judge_pass": null,
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-  "judge": "absent",
-  "cost_usd": 0.0
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data/runs/console/c5-grid-je02/baseline_no_evidence/seed5/score.json

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-{
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data/runs/console/c5-grid-je02/deepseek_deepseek-v4-flash/seed1/score.json

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-{
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